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    <fireside:hostname>web02.fireside.fm</fireside:hostname>
    <fireside:genDate>Tue, 12 May 2026 16:45:51 -0500</fireside:genDate>
    <generator>Fireside (https://fireside.fm)</generator>
    <title>Teaching Python - Episodes Tagged with “Machine Learning”</title>
    <link>https://www.teachingpython.fm/tags/machine%20learning</link>
    <pubDate>Mon, 30 Dec 2024 00:00:00 -0500</pubDate>
    <description>Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language.
About the Hosts:
Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting.
Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python.
Explore with Us:
* Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems.
* Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment.
* Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education.
</description>
    <language>en-us</language>
    <itunes:type>episodic</itunes:type>
    <itunes:subtitle>We're two computer science educators learning and teaching Python</itunes:subtitle>
    <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
    <itunes:summary>Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language.
About the Hosts:
Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting.
Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python.
Explore with Us:
* Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems.
* Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment.
* Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education.
</itunes:summary>
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    <itunes:explicit>no</itunes:explicit>
    <itunes:keywords>Digital Literacy, Coding for Kids ,Tech Integration in Education, 21st Century Skills, Blended Learning, Remote Learning, Adaptive Learning Technologies, Student Engagement Strategies, Flipped Classroom, Inquiry-Based Learning,education, python, computer science, teaching, pedagogy, STEM education, programming languages, educational technology, curriculum development, instructional design, e-learning, teacher training, data science, machine learning, higher education, tech education, innovative teaching, lesson planning, edtech tools, professional development </itunes:keywords>
    <itunes:owner>
      <itunes:name>Sean Tibor and Kelly Paredes</itunes:name>
      <itunes:email>sean.tibor@gmail.com</itunes:email>
    </itunes:owner>
<itunes:category text="Education"/>
<itunes:category text="Technology"/>
<item>
  <title>Episode 143: Computational Thinking 2.0 with Dr. John Chapin</title>
  <link>https://www.teachingpython.fm/143</link>
  <guid isPermaLink="false">d4521b9b-de50-430d-80c7-f8bd21c53b45</guid>
  <pubDate>Mon, 30 Dec 2024 00:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/d4521b9b-de50-430d-80c7-f8bd21c53b45.mp3" length="53623770" type="audio/mpeg"/>
  <itunes:episode>143</itunes:episode>
  <itunes:title>Computational Thinking 2.0 with Dr. John Chapin</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In Episode 143 of Teaching Python, Sean and Kelly sit down with Dr. John Chapin, a renowned computer science teacher and presenter at CSTA, to explore the transformative power of Computational Thinking 2.0 in CS education. They discuss its practical applications, the importance of Python and data science in modern curricula, and the future of teaching coding and machine learning.</itunes:subtitle>
  <itunes:duration>55:59</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/d/d4521b9b-de50-430d-80c7-f8bd21c53b45/cover.jpg?v=1"/>
  <description>&lt;p&gt;In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.&lt;/p&gt;

&lt;p&gt;Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design. Special Guest: Dr. John Chapin.&lt;/p&gt;
</description>
  <itunes:keywords>Education, Technology, Programming, Python, Coding, STEM Education, Tech Learning, Digital Literacy, Tech Tutorials, Python Programming, Computer Science, EdTech, Coding for Beginners, DIY Projects, Interactive Learning, Software Development, Teaching Technology</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today&#39;s educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.</p>

<p>Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery&#39;s Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.</p><p>Special Guest: Dr. John Chapin.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="(PDF) CT 2.0" rel="nofollow" href="https://www.researchgate.net/publication/356142468_CT_20">(PDF) CT 2.0</a></li><li><a title="A Neural Network Playground" rel="nofollow" href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.32326&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">A Neural Network Playground</a> &mdash; Tinker With a Neural Network Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.</li><li><a title="Teach, learn, and make with the Raspberry Pi Foundation" rel="nofollow" href="https://www.raspberrypi.org/">Teach, learn, and make with the Raspberry Pi Foundation</a> &mdash; Discover world-leading curricula, resources, and professional development to support the teaching and learning of AI literacy.

We bring together original research, industry expertise, and practical classroom experience to help you bring the excitement of AI into your classroom.</li><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/#!/welcome">Machine Learning for Kids</a></li><li><a title="ACM CompEd Home - ACM CompEd" rel="nofollow" href="https://comped.acm.org/">ACM CompEd Home - ACM CompEd</a></li><li><a title="About The Coalition | Data Science for Everyone" rel="nofollow" href="https://www.datascience4everyone.org/about">About The Coalition | Data Science for Everyone</a></li><li><a title="AI by Hand ✍️ | Tom Yeh | Substack" rel="nofollow" href="https://aibyhand.substack.com/">AI by Hand ✍️ | Tom Yeh | Substack</a></li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today&#39;s educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.</p>

<p>Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery&#39;s Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.</p><p>Special Guest: Dr. John Chapin.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="(PDF) CT 2.0" rel="nofollow" href="https://www.researchgate.net/publication/356142468_CT_20">(PDF) CT 2.0</a></li><li><a title="A Neural Network Playground" rel="nofollow" href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.32326&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">A Neural Network Playground</a> &mdash; Tinker With a Neural Network Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.</li><li><a title="Teach, learn, and make with the Raspberry Pi Foundation" rel="nofollow" href="https://www.raspberrypi.org/">Teach, learn, and make with the Raspberry Pi Foundation</a> &mdash; Discover world-leading curricula, resources, and professional development to support the teaching and learning of AI literacy.

We bring together original research, industry expertise, and practical classroom experience to help you bring the excitement of AI into your classroom.</li><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/#!/welcome">Machine Learning for Kids</a></li><li><a title="ACM CompEd Home - ACM CompEd" rel="nofollow" href="https://comped.acm.org/">ACM CompEd Home - ACM CompEd</a></li><li><a title="About The Coalition | Data Science for Everyone" rel="nofollow" href="https://www.datascience4everyone.org/about">About The Coalition | Data Science for Everyone</a></li><li><a title="AI by Hand ✍️ | Tom Yeh | Substack" rel="nofollow" href="https://aibyhand.substack.com/">AI by Hand ✍️ | Tom Yeh | Substack</a></li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 109: What We Did on Our Podcast Sabbatical</title>
  <link>https://www.teachingpython.fm/109</link>
  <guid isPermaLink="false">ec851e92-ae12-43d8-9d73-62c4d825e354</guid>
  <pubDate>Tue, 30 May 2023 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/ec851e92-ae12-43d8-9d73-62c4d825e354.mp3" length="39579935" type="audio/mpeg"/>
  <itunes:episode>109</itunes:episode>
  <itunes:title>What We Did on Our Podcast Sabbatical</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode of the Teaching Python podcast, hosts Kelly Schuster-Paredes and Sean Tibor discuss their personal updates, celebrate the achievements of their former students, and anticipate future podcast activities. They express their pride in students moving on to study computer science, artificial intelligence, machine learning, and related fields in college. Kelly and Sean also hint at potentially inviting past students to the podcast and announce plans to enhance their Patreon community with exclusive benefits.</itunes:subtitle>
  <itunes:duration>32:58</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/e/ec851e92-ae12-43d8-9d73-62c4d825e354/cover.jpg?v=1"/>
  <description>&lt;p&gt;&lt;strong&gt;Show Notes:&lt;/strong&gt;&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;
&lt;strong&gt;Personal Updates&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Sean Tibor shares his excitement about meeting his overseas team members for the first time.&lt;/li&gt;
&lt;li&gt;He also expresses pride at watching his first batch of students graduate and choose to study in computer science and related fields.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Future Learning Journeys&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Kelly Schuster-Paredes reflects on the exciting learning opportunities the students will undertake.&lt;/li&gt;
&lt;li&gt;She expresses hope that these students will return to share their experiences and insights (&lt;a href="https://www.teachingpython.fm/" target="_blank" rel="nofollow noopener"&gt;Teaching Python website&lt;/a&gt;).&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Inviting Past Students on the Podcast&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Both hosts discuss the possibility of inviting former students to the podcast as guests.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Current Students Excelling&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Kelly shares an anecdote about a 6th grader surpassing her knowledge in Python's &lt;a href="https://docs.python.org/3/library/turtle.html" target="_blank" rel="nofollow noopener"&gt;Turtle module&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Plans for the Podcast&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Return in June with the first guest speaker of the year.&lt;/li&gt;
&lt;li&gt;Considering a summer sabbatical to prepare for the upcoming school year.&lt;/li&gt;
&lt;li&gt;Plans to enhance their &lt;a href="https://www.patreon.com/teachingpython" target="_blank" rel="nofollow noopener"&gt;Patreon community&lt;/a&gt; with exclusive benefits.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Reach Out!&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;Sean invites listeners to reach out via social platforms such as &lt;a href="https://twitter.com/teachingpython" target="_blank" rel="nofollow noopener"&gt;Twitter&lt;/a&gt;, &lt;a href="https://www.facebook.com/teachingpython" target="_blank" rel="nofollow noopener"&gt;Facebook&lt;/a&gt;, and &lt;a href="https://www.linkedin.com/company/teaching-python" target="_blank" rel="nofollow noopener"&gt;LinkedIn&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;He also encourages feedback on potential topics or guests for future podcast episodes through their &lt;a href="https://www.teachingpython.fm/contact" target="_blank" rel="nofollow noopener"&gt;website contact form&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Signing Off&lt;/strong&gt;

&lt;ul&gt;
&lt;li&gt;The hosts sign off, promising more Python learning insights and experiences in the next episodes.&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;For more details, visit the &lt;a href="https://www.teachingpython.fm/" target="_blank" rel="nofollow noopener"&gt;Teaching Python Podcast website&lt;/a&gt;.&lt;/p&gt;
</description>
  <itunes:keywords>Teaching Python, Python programming, computer science education, Turtle module, podcast, STEM, machine learning, AI, computational mathematics, financial modeling, Sean Tibor, Kelly Schuster-Paredes, student success, international teamwork, graduation, continuous learningPython, Education, Podcast, Computer Science, Turtle, Machine Learning, AI, Mathematics, Finance, Students, Graduation, Continuous Learning, Teamwork, Teaching Python, Patreon</itunes:keywords>
  <content:encoded>
    <![CDATA[<p><strong>Show Notes:</strong></p>

<ol>
<li><strong>Personal Updates</strong>

<ul>
<li>Sean Tibor shares his excitement about meeting his overseas team members for the first time.</li>
<li>He also expresses pride at watching his first batch of students graduate and choose to study in computer science and related fields.</li>
</ul></li>
<li><strong>Future Learning Journeys</strong>

<ul>
<li>Kelly Schuster-Paredes reflects on the exciting learning opportunities the students will undertake.</li>
<li>She expresses hope that these students will return to share their experiences and insights (<a href="https://www.teachingpython.fm/" rel="nofollow">Teaching Python website</a>).</li>
</ul></li>
<li><strong>Inviting Past Students on the Podcast</strong>

<ul>
<li>Both hosts discuss the possibility of inviting former students to the podcast as guests.</li>
</ul></li>
<li><strong>Current Students Excelling</strong>

<ul>
<li>Kelly shares an anecdote about a 6th grader surpassing her knowledge in Python&#39;s <a href="https://docs.python.org/3/library/turtle.html" rel="nofollow">Turtle module</a>.</li>
</ul></li>
<li><strong>Plans for the Podcast</strong>

<ul>
<li>Return in June with the first guest speaker of the year.</li>
<li>Considering a summer sabbatical to prepare for the upcoming school year.</li>
<li>Plans to enhance their <a href="https://www.patreon.com/teachingpython" rel="nofollow">Patreon community</a> with exclusive benefits.</li>
</ul></li>
<li><strong>Reach Out!</strong>

<ul>
<li>Sean invites listeners to reach out via social platforms such as <a href="https://twitter.com/teachingpython" rel="nofollow">Twitter</a>, <a href="https://www.facebook.com/teachingpython" rel="nofollow">Facebook</a>, and <a href="https://www.linkedin.com/company/teaching-python" rel="nofollow">LinkedIn</a>.</li>
<li>He also encourages feedback on potential topics or guests for future podcast episodes through their <a href="https://www.teachingpython.fm/contact" rel="nofollow">website contact form</a>.</li>
</ul></li>
<li><strong>Signing Off</strong>

<ul>
<li>The hosts sign off, promising more Python learning insights and experiences in the next episodes.</li>
</ul></li>
</ol>

<p>For more details, visit the <a href="https://www.teachingpython.fm/" rel="nofollow">Teaching Python Podcast website</a>.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p><strong>Show Notes:</strong></p>

<ol>
<li><strong>Personal Updates</strong>

<ul>
<li>Sean Tibor shares his excitement about meeting his overseas team members for the first time.</li>
<li>He also expresses pride at watching his first batch of students graduate and choose to study in computer science and related fields.</li>
</ul></li>
<li><strong>Future Learning Journeys</strong>

<ul>
<li>Kelly Schuster-Paredes reflects on the exciting learning opportunities the students will undertake.</li>
<li>She expresses hope that these students will return to share their experiences and insights (<a href="https://www.teachingpython.fm/" rel="nofollow">Teaching Python website</a>).</li>
</ul></li>
<li><strong>Inviting Past Students on the Podcast</strong>

<ul>
<li>Both hosts discuss the possibility of inviting former students to the podcast as guests.</li>
</ul></li>
<li><strong>Current Students Excelling</strong>

<ul>
<li>Kelly shares an anecdote about a 6th grader surpassing her knowledge in Python&#39;s <a href="https://docs.python.org/3/library/turtle.html" rel="nofollow">Turtle module</a>.</li>
</ul></li>
<li><strong>Plans for the Podcast</strong>

<ul>
<li>Return in June with the first guest speaker of the year.</li>
<li>Considering a summer sabbatical to prepare for the upcoming school year.</li>
<li>Plans to enhance their <a href="https://www.patreon.com/teachingpython" rel="nofollow">Patreon community</a> with exclusive benefits.</li>
</ul></li>
<li><strong>Reach Out!</strong>

<ul>
<li>Sean invites listeners to reach out via social platforms such as <a href="https://twitter.com/teachingpython" rel="nofollow">Twitter</a>, <a href="https://www.facebook.com/teachingpython" rel="nofollow">Facebook</a>, and <a href="https://www.linkedin.com/company/teaching-python" rel="nofollow">LinkedIn</a>.</li>
<li>He also encourages feedback on potential topics or guests for future podcast episodes through their <a href="https://www.teachingpython.fm/contact" rel="nofollow">website contact form</a>.</li>
</ul></li>
<li><strong>Signing Off</strong>

<ul>
<li>The hosts sign off, promising more Python learning insights and experiences in the next episodes.</li>
</ul></li>
</ol>

<p>For more details, visit the <a href="https://www.teachingpython.fm/" rel="nofollow">Teaching Python Podcast website</a>.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 107: AI In The Middle School with Dr. Nisha Talagala</title>
  <link>https://www.teachingpython.fm/107</link>
  <guid isPermaLink="false">1f438d88-9d28-4cb3-88eb-86652e9388b8</guid>
  <pubDate>Sun, 05 Mar 2023 13:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/1f438d88-9d28-4cb3-88eb-86652e9388b8.mp3" length="57427837" type="audio/mpeg"/>
  <itunes:episode>107</itunes:episode>
  <itunes:title>AI In The Middle School with Dr. Nisha Talagala</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Dr. Nisha Talagala from AIClub joins hosts Sean Tibor and Kelly Schuster-Paredes to discuss the basics of teaching Artificial Intelligence (AI) and Machine Learning (ML) for middle school students, including how AI is used in our daily lives, how to create your own AI projects, and why it's essential to understand the ethics of AI.</itunes:subtitle>
  <itunes:duration>47:51</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/1/1f438d88-9d28-4cb3-88eb-86652e9388b8/cover.jpg?v=1"/>
  <description>&lt;p&gt;Have you ever wondered how Siri, Alexa, or Google Assistant can understand and respond to our commands? Or how Netflix or YouTube recommend the next video for us to watch? The answer lies in Artificial Intelligence (AI), a branch of computer science that allows machines to perform tasks that usually require human intelligence, such as speech recognition, image processing, and decision-making. In this episode of The Teaching Python podcast, Dr. Nisha Talagala, the founder and CEO of &lt;a href="https://www.aiclub.world" target="_blank" rel="nofollow noopener"&gt;AIClub&lt;/a&gt;, a nonprofit organization that teaches AI to students and educators, joins hosts Sean Tibor and Kelly Schuster-Paredes to demystify AI and Machine Learning (ML) for middle school students.&lt;/p&gt;

&lt;p&gt;Dr. Talagala starts by explaining how she started teaching her then 9-year old daughter about AI and quickly realized that there were a lot of gaps in the available AI materials for teaching. She started assembling resources and organizing the content in a way that worked well for kids while providing them with room to grow their knowledge and skills. This quickly turned into a book project, &lt;em&gt;The Fundamentals of Artificial Intelligence, Volume 1&lt;/em&gt; with her co-author Dr. Sindhu Ghanta.&lt;/p&gt;

&lt;p&gt;Next, the conversation shifts to teaching the ethics of AI and the potential risks and benefits of AI for society. Dr. Talagala explains how students need projects that they can relate to and easily adapt to answer the questions they generate. She suggests that middle school students can play a role in shaping the future of AI by learning about these issues, questioning the status quo, and advocating for responsible AI practices. The episode ends with resources and recommendations for teachers who want to learn more about AI and ML. Special Guest: Nisha Talagala.&lt;/p&gt;
</description>
  <itunes:keywords>python, artificial intelligence,teaching,machine learning</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Have you ever wondered how Siri, Alexa, or Google Assistant can understand and respond to our commands? Or how Netflix or YouTube recommend the next video for us to watch? The answer lies in Artificial Intelligence (AI), a branch of computer science that allows machines to perform tasks that usually require human intelligence, such as speech recognition, image processing, and decision-making. In this episode of The Teaching Python podcast, Dr. Nisha Talagala, the founder and CEO of <a href="https://www.aiclub.world" rel="nofollow">AIClub</a>, a nonprofit organization that teaches AI to students and educators, joins hosts Sean Tibor and Kelly Schuster-Paredes to demystify AI and Machine Learning (ML) for middle school students.</p>

<p>Dr. Talagala starts by explaining how she started teaching her then 9-year old daughter about AI and quickly realized that there were a lot of gaps in the available AI materials for teaching. She started assembling resources and organizing the content in a way that worked well for kids while providing them with room to grow their knowledge and skills. This quickly turned into a book project, <em>The Fundamentals of Artificial Intelligence, Volume 1</em> with her co-author Dr. Sindhu Ghanta.</p>

<p>Next, the conversation shifts to teaching the ethics of AI and the potential risks and benefits of AI for society. Dr. Talagala explains how students need projects that they can relate to and easily adapt to answer the questions they generate. She suggests that middle school students can play a role in shaping the future of AI by learning about these issues, questioning the status quo, and advocating for responsible AI practices. The episode ends with resources and recommendations for teachers who want to learn more about AI and ML.</p><p>Special Guest: Nisha Talagala.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B09V7XPLMZ/teachingpython-20">Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store</a> &mdash; This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.</li><li><a title="AIClub - AI for Kids, Coding, IOT, Apps for Kids | AIClub" rel="nofollow" href="https://www.corp.aiclub.world/">AIClub - AI for Kids, Coding, IOT, Apps for Kids | AIClub</a> &mdash; Artificial Intelligence is the Future.
Are Your Kids Ready?</li><li><a title="The Three E’s Of Problem Solving: Core Skills In The Age Of ChatGPT" rel="nofollow" href="https://www.forbes.com/sites/nishatalagala/2023/02/10/the-three-es-of-problem-solving-core-skills-in-the-age-of-chatgpt/?sh=2d676b4224b0">The Three E’s Of Problem Solving: Core Skills In The Age Of ChatGPT</a> &mdash; I have written articles (like this one) on how technologies like ChatGPT, while massively disruptive, are not necessarily the first ones that upended our understanding of what core workplace skills need to look like. In the presence of ever-increasing automation - I would argue the core skills that remain are problem-solving skills - which can be measured by three Es - Effective, Efficient, and Ethical</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Have you ever wondered how Siri, Alexa, or Google Assistant can understand and respond to our commands? Or how Netflix or YouTube recommend the next video for us to watch? The answer lies in Artificial Intelligence (AI), a branch of computer science that allows machines to perform tasks that usually require human intelligence, such as speech recognition, image processing, and decision-making. In this episode of The Teaching Python podcast, Dr. Nisha Talagala, the founder and CEO of <a href="https://www.aiclub.world" rel="nofollow">AIClub</a>, a nonprofit organization that teaches AI to students and educators, joins hosts Sean Tibor and Kelly Schuster-Paredes to demystify AI and Machine Learning (ML) for middle school students.</p>

<p>Dr. Talagala starts by explaining how she started teaching her then 9-year old daughter about AI and quickly realized that there were a lot of gaps in the available AI materials for teaching. She started assembling resources and organizing the content in a way that worked well for kids while providing them with room to grow their knowledge and skills. This quickly turned into a book project, <em>The Fundamentals of Artificial Intelligence, Volume 1</em> with her co-author Dr. Sindhu Ghanta.</p>

<p>Next, the conversation shifts to teaching the ethics of AI and the potential risks and benefits of AI for society. Dr. Talagala explains how students need projects that they can relate to and easily adapt to answer the questions they generate. She suggests that middle school students can play a role in shaping the future of AI by learning about these issues, questioning the status quo, and advocating for responsible AI practices. The episode ends with resources and recommendations for teachers who want to learn more about AI and ML.</p><p>Special Guest: Nisha Talagala.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B09V7XPLMZ/teachingpython-20">Amazon.com: Fundamentals of Artificial Intelligence: Volume 1 (Introduction to Artificial Intelligence) eBook : Talagala, Nisha, Ghanta, Sindhu: Kindle Store</a> &mdash; This book is for K12 students who want to learn AI, for teachers who want to teach AI and bring AI into the classroom, and for any individual who wants to understand AI in a simple and effective way.</li><li><a title="AIClub - AI for Kids, Coding, IOT, Apps for Kids | AIClub" rel="nofollow" href="https://www.corp.aiclub.world/">AIClub - AI for Kids, Coding, IOT, Apps for Kids | AIClub</a> &mdash; Artificial Intelligence is the Future.
Are Your Kids Ready?</li><li><a title="The Three E’s Of Problem Solving: Core Skills In The Age Of ChatGPT" rel="nofollow" href="https://www.forbes.com/sites/nishatalagala/2023/02/10/the-three-es-of-problem-solving-core-skills-in-the-age-of-chatgpt/?sh=2d676b4224b0">The Three E’s Of Problem Solving: Core Skills In The Age Of ChatGPT</a> &mdash; I have written articles (like this one) on how technologies like ChatGPT, while massively disruptive, are not necessarily the first ones that upended our understanding of what core workplace skills need to look like. In the presence of ever-increasing automation - I would argue the core skills that remain are problem-solving skills - which can be measured by three Es - Effective, Efficient, and Ethical</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 72: Catching Up</title>
  <link>https://www.teachingpython.fm/72</link>
  <guid isPermaLink="false">05d19628-4a67-4997-9ac7-c208b4d38522</guid>
  <pubDate>Tue, 06 Jul 2021 16:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/05d19628-4a67-4997-9ac7-c208b4d38522.mp3" length="63304142" type="audio/mpeg"/>
  <itunes:episode>72</itunes:episode>
  <itunes:title>Catching Up</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>It's been a few weeks since we recorded, so this week's episode is all about catching up on listener questions and mail. Highlights include the new AWS machine learning course we're taking, whether we'd rather be teachers or coders, and the new Adafruit hardware we're trying.</itunes:subtitle>
  <itunes:duration>1:05:56</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/0/05d19628-4a67-4997-9ac7-c208b4d38522/cover.jpg?v=1"/>
  <description>&lt;p&gt;It's been a few weeks since we recorded, so this week's episode is all about catching up on listener questions and mail. &lt;/p&gt;

&lt;p&gt;Highlights include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;the new AWS machine learning course we're taking, &lt;/li&gt;
&lt;li&gt;whether we'd rather be teachers or coders&lt;/li&gt;
&lt;li&gt;the new Adafruit hardware we're trying&lt;/li&gt;
&lt;li&gt;the Deep Composer keyboard&lt;/li&gt;
&lt;li&gt;equity and equitable opportunity in and out of the classroom&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;You can also check out the recording of the livestream on our &lt;a href="https://www.youtube.com/watch?v=nL6GRe37eiY" target="_blank" rel="nofollow noopener"&gt;YouTube Channel&lt;/a&gt; &lt;/p&gt;
</description>
  <itunes:keywords>python,teaching,coding</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>It&#39;s been a few weeks since we recorded, so this week&#39;s episode is all about catching up on listener questions and mail. </p>

<p>Highlights include:</p>

<ul>
<li>the new AWS machine learning course we&#39;re taking, </li>
<li>whether we&#39;d rather be teachers or coders</li>
<li>the new Adafruit hardware we&#39;re trying</li>
<li>the Deep Composer keyboard</li>
<li>equity and equitable opportunity in and out of the classroom</li>
</ul>

<p>You can also check out the recording of the livestream on our <a href="https://www.youtube.com/watch?v=nL6GRe37eiY" rel="nofollow">YouTube Channel</a></p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Doll-E 1.0 - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B075CSCH6R/teachingpython-20">Doll-E 1.0 - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com.</a> &mdash; A STEM-friendly tale of a girl and the doll she upgrades to be her new friend, for fans of The Most Magnificent Thing and Rosie Revere, Engineer.</li><li><a title="T-Bone the Drone - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07MJ64HBB/teachingpython-20">T-Bone the Drone - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com.</a> &mdash; A new tech toy brings epic trials and triumphs in this playtime adventure for fans of The Most Magnificent Thing and Iggy Peck, Architect.</li><li><a title="Data.WA | State of Washington Open Data Platform | Data.WA | State of Washington" rel="nofollow" href="https://data.wa.gov/">Data.WA | State of Washington Open Data Platform | Data.WA | State of Washington</a> &mdash; Welcome to Data.WA.gov - the general purpose open data portal for the State of Washington.</li><li><a title="Learn computer programming | Online courses from JetBrains Academy" rel="nofollow" href="https://www.jetbrains.com/academy/">Learn computer programming | Online courses from JetBrains Academy</a> &mdash; Try a holistic approach to learning in which you study the theory and immediately put it into practice by building working applications.

Dive into Java, Python, and other programming languages in a project-based learning environment that is integrated with JetBrains IDEs.</li><li><a title="AWS Machine Learning Foundations Course | Udacity Free Courses" rel="nofollow" href="https://www.udacity.com/course/aws-machine-learning-foundations--ud090">AWS Machine Learning Foundations Course | Udacity Free Courses</a> &mdash; Study machine learning techniques and algorithms, programming best practices, python coding, and Amazon AI Services and Amazon AI Devices, including Amazon SageMaker and Amazon DeepComposer. The foundations course is intended to help developers of all skill levels get started with machine learning.</li><li><a title="Amazon.com: AWS DeepComposer – a machine learning-enabled musical keyboard for developers: Amazon Devices" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07YGZ4V5B/teachingpython-20">Amazon.com: AWS DeepComposer – a machine learning-enabled musical keyboard for developers: Amazon Devices</a> &mdash; AWS DeepComposer gives developers a creative way to get started with machine learning. Get hands-on, literally, with a musical keyboard and the latest machine learning techniques, designed to expand your ML skills.</li><li><a title="Computer Chronicles Revisited, Part 16 — The Apple Logo Programming Language - S.M. Oliva" rel="nofollow" href="https://www.smoliva.blog/post/computer-chronicles-revisited-016-apple-logo-programming-language/">Computer Chronicles Revisited, Part 16 — The Apple Logo Programming Language - S.M. Oliva</a> &mdash; Today, Python is probably the most popular computer programming language taught in elementary and secondary schools. (There’s even a terrific podcast, Teaching Python, on this subject.) But back in the 1980s, BASIC was the language of choice for many introductory computer classrooms. Specifically, versions of Microsoft BASIC came with many popular 8-bit microcomputers, including the Apple II and Commodore 64, which were also commonly used in schools at the time.</li><li><a title="Amazon.com: A Thousand Brains: A New Theory of Intelligence eBook: Hawkins, Jeff, Dawkins, Richard: Kindle Store" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B08CDX6YNW/teachingpython-20">Amazon.com: A Thousand Brains: A New Theory of Intelligence eBook: Hawkins, Jeff, Dawkins, Richard: Kindle Store</a> &mdash; For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. </li><li><a title="GitHub Copilot · Your AI pair programmer" rel="nofollow" href="https://copilot.github.com/">GitHub Copilot · Your AI pair programmer</a> &mdash; Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping&nbsp;you stay focused.</li><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/">PyBites Platform | Real World Python Exercises</a> &mdash; Solve Real World Problems Using Python
Overwhelmed by tutorials? Stop consuming books and courses! The only way to really learn to code is to write a lot of relevant code. Our platform makes you a confident programmer fast.</li><li><a title="Real-World Python: A Hacker&#39;s Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/1718500629/teachingpython-20">Real-World Python: A Hacker's Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books</a> &mdash; Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to:</li><li><a title="Adafruit IO Wippersnapper DevLog #1: What IS Wippersnapper? #AdafruitIO​​ #Adafruit​ #IoT @adafruit @adafruitio « Adafruit Industries – Makers, hackers, artists, designers and engineers!" rel="nofollow" href="https://blog.adafruit.com/2021/02/19/adafruit-io-wippersnapper-devlog-1-what-is-wippersnapper-adafruitio%E2%80%8B%E2%80%8B-adafruit%E2%80%8B-iot-adafruit-adafruitio/">Adafruit IO Wippersnapper DevLog #1: What IS Wippersnapper? #AdafruitIO​​ #Adafruit​ #IoT @adafruit @adafruitio « Adafruit Industries – Makers, hackers, artists, designers and engineers!</a> &mdash; Adafruit IO Wippersnapper is a new way to create robust Internet of Things Projects without writing code. Wippersnapper is in early development and it’s not out yet.

</li><li><a title="Adafruit FunHouse - WiFi Home Automation Development Board : ID 4985 : $34.95 : Adafruit Industries, Unique &amp; fun DIY electronics and kits" rel="nofollow" href="https://www.adafruit.com/product/4985">Adafruit FunHouse - WiFi Home Automation Development Board : ID 4985 : $34.95 : Adafruit Industries, Unique &amp; fun DIY electronics and kits</a> &mdash; Home is where the heart is...it's also where we keep all our electronic bits. So why not wire it up with sensors and actuators to turn our house into an electronic wonderland. Whether it's tracking the environmental temperature and humidity in your laundry room, or notifying you when someone is detected in the kitchen, to sensing when a window was left open, or logging when your cat leaves through the pet door, this board is designed to make it way easy to make WiFi-connected home automation projects.</li><li><a title="Adafruit Feather nRF52840 Sense : ID 4516 : $32.50 : Adafruit Industries, Unique &amp; fun DIY electronics and kits" rel="nofollow" href="https://www.adafruit.com/product/4516">Adafruit Feather nRF52840 Sense : ID 4516 : $32.50 : Adafruit Industries, Unique &amp; fun DIY electronics and kits</a> &mdash; The Adafruit Feather Bluefruit Sense takes our popular Feather nRF52840 Express and adds a smorgasbord of sensors to make a great wireless sensor platform. This Feather microcontroller comes with Bluetooth Low Energy and native USB support featuring the nRF52840!&nbsp; This Feather is an 'all-in-one' Arduino-compatible + Bluetooth Low Energy with built in USB plus battery charging. With native USB it works great with CircuitPython, too.</li><li><a title="EngiNerds (MAX) - Kindle edition by Lerner, Jarrett. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B071R25YQS/teachingpython-20">EngiNerds (MAX) - Kindle edition by Lerner, Jarrett. Children Kindle eBooks @ Amazon.com.</a> &mdash; Ken is an EngiNerd: one of a super-smart group of friends—all nerds—who have been close since kindergarten.</li><li><a title="Amazon.com: POWER A Nano Enhanced Wireless Controller for Nintendo Switch - Grey-Neon, Works with Nintendo Switch Lite, Bluetooth Controller, Gamepad, Compact, Smaller, Rechargeable, Portable - Nintendo Switch: Video Games" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B08BK27KZF/teachingpython-20">Amazon.com: POWER A Nano Enhanced Wireless Controller for Nintendo Switch - Grey-Neon, Works with Nintendo Switch Lite, Bluetooth Controller, Gamepad, Compact, Smaller, Rechargeable, Portable - Nintendo Switch: Video Games</a> &mdash; Wireless Controller with Bluetooth 5.0 Technology + compact ergonomic shell with standard sized Buttons &amp; controls
Features motion controls and mappable advanced gaming Buttons + LEDs for player number, button mapping, and low battery warning</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>It&#39;s been a few weeks since we recorded, so this week&#39;s episode is all about catching up on listener questions and mail. </p>

<p>Highlights include:</p>

<ul>
<li>the new AWS machine learning course we&#39;re taking, </li>
<li>whether we&#39;d rather be teachers or coders</li>
<li>the new Adafruit hardware we&#39;re trying</li>
<li>the Deep Composer keyboard</li>
<li>equity and equitable opportunity in and out of the classroom</li>
</ul>

<p>You can also check out the recording of the livestream on our <a href="https://www.youtube.com/watch?v=nL6GRe37eiY" rel="nofollow">YouTube Channel</a></p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Doll-E 1.0 - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B075CSCH6R/teachingpython-20">Doll-E 1.0 - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com.</a> &mdash; A STEM-friendly tale of a girl and the doll she upgrades to be her new friend, for fans of The Most Magnificent Thing and Rosie Revere, Engineer.</li><li><a title="T-Bone the Drone - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07MJ64HBB/teachingpython-20">T-Bone the Drone - Kindle edition by McCloskey, Shanda. Children Kindle eBooks @ Amazon.com.</a> &mdash; A new tech toy brings epic trials and triumphs in this playtime adventure for fans of The Most Magnificent Thing and Iggy Peck, Architect.</li><li><a title="Data.WA | State of Washington Open Data Platform | Data.WA | State of Washington" rel="nofollow" href="https://data.wa.gov/">Data.WA | State of Washington Open Data Platform | Data.WA | State of Washington</a> &mdash; Welcome to Data.WA.gov - the general purpose open data portal for the State of Washington.</li><li><a title="Learn computer programming | Online courses from JetBrains Academy" rel="nofollow" href="https://www.jetbrains.com/academy/">Learn computer programming | Online courses from JetBrains Academy</a> &mdash; Try a holistic approach to learning in which you study the theory and immediately put it into practice by building working applications.

Dive into Java, Python, and other programming languages in a project-based learning environment that is integrated with JetBrains IDEs.</li><li><a title="AWS Machine Learning Foundations Course | Udacity Free Courses" rel="nofollow" href="https://www.udacity.com/course/aws-machine-learning-foundations--ud090">AWS Machine Learning Foundations Course | Udacity Free Courses</a> &mdash; Study machine learning techniques and algorithms, programming best practices, python coding, and Amazon AI Services and Amazon AI Devices, including Amazon SageMaker and Amazon DeepComposer. The foundations course is intended to help developers of all skill levels get started with machine learning.</li><li><a title="Amazon.com: AWS DeepComposer – a machine learning-enabled musical keyboard for developers: Amazon Devices" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07YGZ4V5B/teachingpython-20">Amazon.com: AWS DeepComposer – a machine learning-enabled musical keyboard for developers: Amazon Devices</a> &mdash; AWS DeepComposer gives developers a creative way to get started with machine learning. Get hands-on, literally, with a musical keyboard and the latest machine learning techniques, designed to expand your ML skills.</li><li><a title="Computer Chronicles Revisited, Part 16 — The Apple Logo Programming Language - S.M. Oliva" rel="nofollow" href="https://www.smoliva.blog/post/computer-chronicles-revisited-016-apple-logo-programming-language/">Computer Chronicles Revisited, Part 16 — The Apple Logo Programming Language - S.M. Oliva</a> &mdash; Today, Python is probably the most popular computer programming language taught in elementary and secondary schools. (There’s even a terrific podcast, Teaching Python, on this subject.) But back in the 1980s, BASIC was the language of choice for many introductory computer classrooms. Specifically, versions of Microsoft BASIC came with many popular 8-bit microcomputers, including the Apple II and Commodore 64, which were also commonly used in schools at the time.</li><li><a title="Amazon.com: A Thousand Brains: A New Theory of Intelligence eBook: Hawkins, Jeff, Dawkins, Richard: Kindle Store" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B08CDX6YNW/teachingpython-20">Amazon.com: A Thousand Brains: A New Theory of Intelligence eBook: Hawkins, Jeff, Dawkins, Richard: Kindle Store</a> &mdash; For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. </li><li><a title="GitHub Copilot · Your AI pair programmer" rel="nofollow" href="https://copilot.github.com/">GitHub Copilot · Your AI pair programmer</a> &mdash; Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping&nbsp;you stay focused.</li><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/">PyBites Platform | Real World Python Exercises</a> &mdash; Solve Real World Problems Using Python
Overwhelmed by tutorials? Stop consuming books and courses! The only way to really learn to code is to write a lot of relevant code. Our platform makes you a confident programmer fast.</li><li><a title="Real-World Python: A Hacker&#39;s Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/1718500629/teachingpython-20">Real-World Python: A Hacker's Guide to Solving Problems with Code: Vaughan, Lee: 9781718500624: Amazon.com: Books</a> &mdash; Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to:</li><li><a title="Adafruit IO Wippersnapper DevLog #1: What IS Wippersnapper? #AdafruitIO​​ #Adafruit​ #IoT @adafruit @adafruitio « Adafruit Industries – Makers, hackers, artists, designers and engineers!" rel="nofollow" href="https://blog.adafruit.com/2021/02/19/adafruit-io-wippersnapper-devlog-1-what-is-wippersnapper-adafruitio%E2%80%8B%E2%80%8B-adafruit%E2%80%8B-iot-adafruit-adafruitio/">Adafruit IO Wippersnapper DevLog #1: What IS Wippersnapper? #AdafruitIO​​ #Adafruit​ #IoT @adafruit @adafruitio « Adafruit Industries – Makers, hackers, artists, designers and engineers!</a> &mdash; Adafruit IO Wippersnapper is a new way to create robust Internet of Things Projects without writing code. Wippersnapper is in early development and it’s not out yet.

</li><li><a title="Adafruit FunHouse - WiFi Home Automation Development Board : ID 4985 : $34.95 : Adafruit Industries, Unique &amp; fun DIY electronics and kits" rel="nofollow" href="https://www.adafruit.com/product/4985">Adafruit FunHouse - WiFi Home Automation Development Board : ID 4985 : $34.95 : Adafruit Industries, Unique &amp; fun DIY electronics and kits</a> &mdash; Home is where the heart is...it's also where we keep all our electronic bits. So why not wire it up with sensors and actuators to turn our house into an electronic wonderland. Whether it's tracking the environmental temperature and humidity in your laundry room, or notifying you when someone is detected in the kitchen, to sensing when a window was left open, or logging when your cat leaves through the pet door, this board is designed to make it way easy to make WiFi-connected home automation projects.</li><li><a title="Adafruit Feather nRF52840 Sense : ID 4516 : $32.50 : Adafruit Industries, Unique &amp; fun DIY electronics and kits" rel="nofollow" href="https://www.adafruit.com/product/4516">Adafruit Feather nRF52840 Sense : ID 4516 : $32.50 : Adafruit Industries, Unique &amp; fun DIY electronics and kits</a> &mdash; The Adafruit Feather Bluefruit Sense takes our popular Feather nRF52840 Express and adds a smorgasbord of sensors to make a great wireless sensor platform. This Feather microcontroller comes with Bluetooth Low Energy and native USB support featuring the nRF52840!&nbsp; This Feather is an 'all-in-one' Arduino-compatible + Bluetooth Low Energy with built in USB plus battery charging. With native USB it works great with CircuitPython, too.</li><li><a title="EngiNerds (MAX) - Kindle edition by Lerner, Jarrett. Children Kindle eBooks @ Amazon.com." rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B071R25YQS/teachingpython-20">EngiNerds (MAX) - Kindle edition by Lerner, Jarrett. Children Kindle eBooks @ Amazon.com.</a> &mdash; Ken is an EngiNerd: one of a super-smart group of friends—all nerds—who have been close since kindergarten.</li><li><a title="Amazon.com: POWER A Nano Enhanced Wireless Controller for Nintendo Switch - Grey-Neon, Works with Nintendo Switch Lite, Bluetooth Controller, Gamepad, Compact, Smaller, Rechargeable, Portable - Nintendo Switch: Video Games" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B08BK27KZF/teachingpython-20">Amazon.com: POWER A Nano Enhanced Wireless Controller for Nintendo Switch - Grey-Neon, Works with Nintendo Switch Lite, Bluetooth Controller, Gamepad, Compact, Smaller, Rechargeable, Portable - Nintendo Switch: Video Games</a> &mdash; Wireless Controller with Bluetooth 5.0 Technology + compact ergonomic shell with standard sized Buttons &amp; controls
Features motion controls and mappable advanced gaming Buttons + LEDs for player number, button mapping, and low battery warning</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 56: AI and Machine Learning for Kids with Dale Lane (@dalelane)</title>
  <link>https://www.teachingpython.fm/56</link>
  <guid isPermaLink="false">81292507-18c0-4b83-a522-905199879691</guid>
  <pubDate>Tue, 01 Dec 2020 01:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/81292507-18c0-4b83-a522-905199879691.mp3" length="37832456" type="audio/mpeg"/>
  <itunes:episode>56</itunes:episode>
  <itunes:title>AI and Machine Learning for Kids with Dale Lane (@dalelane)</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</itunes:subtitle>
  <itunes:duration>39:24</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/8/81292507-18c0-4b83-a522-905199879691/cover.jpg?v=1"/>
  <description>&lt;p&gt;In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.&lt;/p&gt;

&lt;p&gt;“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”&lt;br&gt;
Dale Lane IBM Interview&lt;br&gt;
 Special Guest: Dale Lane.&lt;/p&gt;
</description>
  <itunes:keywords>artificial intelligence, machine learning, ai, python, scratch</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</p>

<p>“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”<br>
Dale Lane IBM Interview</p><p>Special Guest: Dale Lane.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/">Machine Learning for Kids</a> &mdash; This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.</li><li><a title="You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It&#39;s Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/0316525243/teachingpython-20">You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books</a> &mdash; "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.</li><li><a title="Amazon.com: Explain the Cloud Like I&#39;m 10 (9780979707117): Hoff, Todd: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/0979707110/teachingpython-20">Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books</a> &mdash; What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples.

Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out.

Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In this episode, Kelly and Sean talk with Dale Lane an IBM Event Streams Lead Developer. - IBM awarded Dale, the 2018 IBM Volunteer Excellence Award—the highest form of volunteer recognition given by the company—which also earned a USD 10,000 grant from IBM for Solent Youth Action.</p>

<p>“Machine learning systems are all around us. We all use, interact with, or are affected by, machine learning systems every day. If our goal is to help children to understand how the world around them works, then understanding machine learning is an important topic. Also, the impact machine learning systems will have on our lives will only continue to increase. There is a growing need for society to make decisions about how we want such systems to be managed, controlled, and regulated. Understanding machine learning is an essential topic to help the next generation engage in that societal debate.”<br>
Dale Lane IBM Interview</p><p>Special Guest: Dale Lane.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Machine Learning for Kids" rel="nofollow" href="https://machinelearningforkids.co.uk/">Machine Learning for Kids</a> &mdash; This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.</li><li><a title="You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It&#39;s Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/0316525243/teachingpython-20">You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place: Shane, Janelle: 9780316525244: Amazon.com: Books</a> &mdash; "You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.</li><li><a title="Amazon.com: Explain the Cloud Like I&#39;m 10 (9780979707117): Hoff, Todd: Books" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/0979707110/teachingpython-20">Amazon.com: Explain the Cloud Like I'm 10 (9780979707117): Hoff, Todd: Books</a> &mdash; What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples.

Why learn about the cloud? It's the future. The cloud is the future of software, the future of computing, and the future of business. If you're not up on the cloud the future will move on without you. Don't miss out.

Not a geek? Don't worry. I wrote this book for you! After reading Explain Cloud Like I'm 10,</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 31: The School of 2024</title>
  <link>https://www.teachingpython.fm/31</link>
  <guid isPermaLink="false">cc1ad5c1-a80a-436b-ba1e-cba283b0097f</guid>
  <pubDate>Mon, 11 Nov 2019 00:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/cc1ad5c1-a80a-436b-ba1e-cba283b0097f.mp3" length="22986249" type="audio/mp3"/>
  <itunes:episode>31</itunes:episode>
  <itunes:title>The School of 2024</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean discuss plausible trends in machine learning, artificial intelligence, augmented and virtual reality, and data science that we may see in schools by 2024. We focus on 5 areas from microscale in the classroom to macro across the entire educational system.</itunes:subtitle>
  <itunes:duration>46:31</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/c/cc1ad5c1-a80a-436b-ba1e-cba283b0097f/cover.jpg?v=1"/>
  <description>&lt;p&gt;Can you belive it's only been five years since Alexa launched? Or that &lt;a href="https://xkcd.com/1425/" target="_blank" rel="nofollow noopener"&gt;identifying birds in photos was considered a hard problem&lt;/a&gt; for machine learning? In this episode, Kelly and Sean discuss plausible trends in machine learning, artificial intelligence, augmented and virtual reality, and data science that we may see in schools by 2024. We focus on 5 areas from microscale in the classroom to macro across the entire educational system.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Trends in the Computer Science classroom&lt;/li&gt;
&lt;li&gt;Integration into other subjects&lt;/li&gt;
&lt;li&gt;Reducing Teacher Workload&lt;/li&gt;
&lt;li&gt;For Student Access to Tools&lt;/li&gt;
&lt;li&gt;As a School-wide Initiative&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;It's amazing to think that many problems in Machine Learning were considered hard just 5 years ago. What will the next 5 years bring? &lt;/p&gt;
</description>
  <itunes:keywords>teaching, predictions, python, machine learning, education</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Can you belive it&#39;s only been five years since Alexa launched? Or that <a href="https://xkcd.com/1425/" rel="nofollow">identifying birds in photos was considered a hard problem</a> for machine learning? In this episode, Kelly and Sean discuss plausible trends in machine learning, artificial intelligence, augmented and virtual reality, and data science that we may see in schools by 2024. We focus on 5 areas from microscale in the classroom to macro across the entire educational system.</p>

<ol>
<li>Trends in the Computer Science classroom</li>
<li>Integration into other subjects</li>
<li>Reducing Teacher Workload</li>
<li>For Student Access to Tools</li>
<li>As a School-wide Initiative</li>
</ol>

<p>It&#39;s amazing to think that many problems in Machine Learning were considered hard just 5 years ago. What will the next 5 years bring?</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.realpython.com/join">Real Python</a>: <a rel="nofollow" href="https://www.realpython.com/join">Sign up for an annual subscription with Real Python</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Collapsing Sith Lightsaber (Removable Blade) by 3DPRINTINGWORLD - Thingiverse" rel="nofollow" href="https://www.thingiverse.com/thing:3668138">Collapsing Sith Lightsaber (Removable Blade) by 3DPRINTINGWORLD - Thingiverse</a> &mdash; This Lightsaber has a removable collapsing blade that can be printed separately in a different color. The hilt is designed with a screw on cap which allows the blade to be inserted after its printed. Prints without supports, but you will need a printer capable of printing the hilt 205mm tall.</li><li><a title="Becoming Homeless: A Human Experience | VHIL" rel="nofollow" href="https://vhil.stanford.edu/becominghomeless/">Becoming Homeless: A Human Experience | VHIL</a> &mdash; The Fundamental Attribution Error, as coined by Stanford Psychologists, describes how we blame others when bad things happen to them, but blame the external situations when bad things happen to us. There is a misconception that losing one's home is due to who you are and the choices you make. Becoming Homeless: A Human Experience seeks to counter this irrational tendency.</li><li><a title="‎Socratic by Google on the App Store" rel="nofollow" href="https://apps.apple.com/us/app/socratic-by-google/id1014164514">‎Socratic by Google on the App&nbsp;Store</a> &mdash; Need to get unstuck? Socratic can help! This learning app, powered by Google AI, helps you understand your school work at a high school and university level. Ask Socratic a question and the app will find the best online resources for you to learn the concepts. Socratic supports most high school subjects, with more coming soon!</li><li><a title="Google Translate’s instant camera translation gets an upgrade" rel="nofollow" href="https://www.blog.google/products/translate/google-translates-instant-camera-translation-gets-upgrade/">Google Translate’s instant camera translation gets an upgrade</a> &mdash; Google Translate allows you to explore unfamiliar lands, communicate in different languages, and make connections that would be otherwise impossible. One of my favorite features on the Google Translate mobile app is instant camera translation, which allows you to see the world in your language by just pointing your camera lens at the foreign text. </li><li><a title="Math Games | Mangahigh.com" rel="nofollow" href="https://www.mangahigh.com/en-us/">Math Games | Mangahigh.com</a> &mdash; Get your students excited, engaged and excelling at maths and coding!
Adaptive quizzes, innovative games and social competitions
Aligned to international curricula
Real-time analytics with AI support for differentiation</li><li><a title="Amazon.com - Neato Botvac D4 Connect Blk -" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07GCGVNLM/teachingpython-20">Amazon.com - Neato Botvac D4 Connect Blk -</a> &mdash; rners, and corners are where the worst dirt hides. Our industry-leading design gets you a complete floor clean
LaserSmart mapping - D4 technology intelligently navigates and maps your home, cleaning in straight lines instead of a random pattern -- so you never miss a spot
Masterful on multiple surfaces - Neato D4 conquers any surface, from carpet, to hardwood, to kitchen tile.
Intuitive operation and interface. Neato is simple to use. Our focus has always been on out-of-the-box, one-button, perfect cleaning.
Clean winner in innovation. Get laser navigation, no-go lines, 70% bigger combo brush, smart-home interaction, app support, and most of all. . . real, autonomous, robotic vacuuming!</li><li><a title="Amazon.com: AWS DeepLens (2019 Edition) – deep learning-enabled video camera for developers: Amazon Devices" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07JLSHR23/teachingpython-20">Amazon.com: AWS DeepLens (2019 Edition) – deep learning-enabled video camera for developers: Amazon Devices</a> &mdash; Learn the basics of deep learning - a machine learning technique that uses neural networks to learn and make predictions - through computer vision projects, tutorials, and real world, hands-on exploration with a physical device. AWS DeepLens lets you run deep learning models locally on the camera to analyze and take action on what it sees.</li><li><a title="Alexa in Education" rel="nofollow" href="https://aws.amazon.com/education/alexa-edu/">Alexa in Education</a> &mdash; Amazon Alexa is ushering in a new era of technology. One where students, educators, and parents can use their voice to interact with technology that deepens learning, provides access to critical information, and saves time. With Alexa, students can track upcoming events on their calendar, get study resources, or make an appointment with a guidance counselor – all without having to open their computer. Teachers can use Alexa to prepare for upcoming lessons, while administrators can quickly access important information like enrollment statistics.</li><li><a title="Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation | SciPy - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=5MUobhjrwO8">Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation | SciPy - YouTube</a> &mdash; Reassembly of 3D fragmented objects from a collection of hundreds of randomly mixed fragments is a problem that arises in several applied disciplines, such as archaeology, failure analysis, paleontology, etc. In this talk we will walk through the pipeline of 3D data generation in archaeological studies, from pre-processing of images, moving from 2D to 3D space, and finally the training and evaluation of generative adversarial networks in Python for 3D meshes corresponding to Iberian vessels. We will report several python libraries (scikit-image, pytorch, visdom, etc.) and how they are used in this particular pipeline. The main goal of augmenting our dataset in 3D is to perform fragment part identification and vessel reconstruction.</li><li><a title="The internet will continue to make life better | Pew Research Center" rel="nofollow" href="https://www.pewresearch.org/internet/2019/10/28/4-the-internet-will-continue-to-make-life-better/">The internet will continue to make life better | Pew Research Center</a> &mdash; A large share of respondents predict enormous potential for improved quality of life over the next 50 years for most individuals thanks to internet connectivity, although many said the benefits of a wired world are not likely to be evenly distributed.</li><li><a title="Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks | RAND" rel="nofollow" href="https://www.rand.org/pubs/perspectives/PE315.html">Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks | RAND</a> &mdash; Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI applications can be used to support the work of K–12 teachers and the practice of teaching by augmenting teacher capacity rather than replacing teachers. </li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Can you belive it&#39;s only been five years since Alexa launched? Or that <a href="https://xkcd.com/1425/" rel="nofollow">identifying birds in photos was considered a hard problem</a> for machine learning? In this episode, Kelly and Sean discuss plausible trends in machine learning, artificial intelligence, augmented and virtual reality, and data science that we may see in schools by 2024. We focus on 5 areas from microscale in the classroom to macro across the entire educational system.</p>

<ol>
<li>Trends in the Computer Science classroom</li>
<li>Integration into other subjects</li>
<li>Reducing Teacher Workload</li>
<li>For Student Access to Tools</li>
<li>As a School-wide Initiative</li>
</ol>

<p>It&#39;s amazing to think that many problems in Machine Learning were considered hard just 5 years ago. What will the next 5 years bring?</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.realpython.com/join">Real Python</a>: <a rel="nofollow" href="https://www.realpython.com/join">Sign up for an annual subscription with Real Python</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Collapsing Sith Lightsaber (Removable Blade) by 3DPRINTINGWORLD - Thingiverse" rel="nofollow" href="https://www.thingiverse.com/thing:3668138">Collapsing Sith Lightsaber (Removable Blade) by 3DPRINTINGWORLD - Thingiverse</a> &mdash; This Lightsaber has a removable collapsing blade that can be printed separately in a different color. The hilt is designed with a screw on cap which allows the blade to be inserted after its printed. Prints without supports, but you will need a printer capable of printing the hilt 205mm tall.</li><li><a title="Becoming Homeless: A Human Experience | VHIL" rel="nofollow" href="https://vhil.stanford.edu/becominghomeless/">Becoming Homeless: A Human Experience | VHIL</a> &mdash; The Fundamental Attribution Error, as coined by Stanford Psychologists, describes how we blame others when bad things happen to them, but blame the external situations when bad things happen to us. There is a misconception that losing one's home is due to who you are and the choices you make. Becoming Homeless: A Human Experience seeks to counter this irrational tendency.</li><li><a title="‎Socratic by Google on the App Store" rel="nofollow" href="https://apps.apple.com/us/app/socratic-by-google/id1014164514">‎Socratic by Google on the App&nbsp;Store</a> &mdash; Need to get unstuck? Socratic can help! This learning app, powered by Google AI, helps you understand your school work at a high school and university level. Ask Socratic a question and the app will find the best online resources for you to learn the concepts. Socratic supports most high school subjects, with more coming soon!</li><li><a title="Google Translate’s instant camera translation gets an upgrade" rel="nofollow" href="https://www.blog.google/products/translate/google-translates-instant-camera-translation-gets-upgrade/">Google Translate’s instant camera translation gets an upgrade</a> &mdash; Google Translate allows you to explore unfamiliar lands, communicate in different languages, and make connections that would be otherwise impossible. One of my favorite features on the Google Translate mobile app is instant camera translation, which allows you to see the world in your language by just pointing your camera lens at the foreign text. </li><li><a title="Math Games | Mangahigh.com" rel="nofollow" href="https://www.mangahigh.com/en-us/">Math Games | Mangahigh.com</a> &mdash; Get your students excited, engaged and excelling at maths and coding!
Adaptive quizzes, innovative games and social competitions
Aligned to international curricula
Real-time analytics with AI support for differentiation</li><li><a title="Amazon.com - Neato Botvac D4 Connect Blk -" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07GCGVNLM/teachingpython-20">Amazon.com - Neato Botvac D4 Connect Blk -</a> &mdash; rners, and corners are where the worst dirt hides. Our industry-leading design gets you a complete floor clean
LaserSmart mapping - D4 technology intelligently navigates and maps your home, cleaning in straight lines instead of a random pattern -- so you never miss a spot
Masterful on multiple surfaces - Neato D4 conquers any surface, from carpet, to hardwood, to kitchen tile.
Intuitive operation and interface. Neato is simple to use. Our focus has always been on out-of-the-box, one-button, perfect cleaning.
Clean winner in innovation. Get laser navigation, no-go lines, 70% bigger combo brush, smart-home interaction, app support, and most of all. . . real, autonomous, robotic vacuuming!</li><li><a title="Amazon.com: AWS DeepLens (2019 Edition) – deep learning-enabled video camera for developers: Amazon Devices" rel="nofollow" href="http://www.amazon.com/exec/obidos/ASIN/B07JLSHR23/teachingpython-20">Amazon.com: AWS DeepLens (2019 Edition) – deep learning-enabled video camera for developers: Amazon Devices</a> &mdash; Learn the basics of deep learning - a machine learning technique that uses neural networks to learn and make predictions - through computer vision projects, tutorials, and real world, hands-on exploration with a physical device. AWS DeepLens lets you run deep learning models locally on the camera to analyze and take action on what it sees.</li><li><a title="Alexa in Education" rel="nofollow" href="https://aws.amazon.com/education/alexa-edu/">Alexa in Education</a> &mdash; Amazon Alexa is ushering in a new era of technology. One where students, educators, and parents can use their voice to interact with technology that deepens learning, provides access to critical information, and saves time. With Alexa, students can track upcoming events on their calendar, get study resources, or make an appointment with a guidance counselor – all without having to open their computer. Teachers can use Alexa to prepare for upcoming lessons, while administrators can quickly access important information like enrollment statistics.</li><li><a title="Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation | SciPy - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=5MUobhjrwO8">Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation | SciPy - YouTube</a> &mdash; Reassembly of 3D fragmented objects from a collection of hundreds of randomly mixed fragments is a problem that arises in several applied disciplines, such as archaeology, failure analysis, paleontology, etc. In this talk we will walk through the pipeline of 3D data generation in archaeological studies, from pre-processing of images, moving from 2D to 3D space, and finally the training and evaluation of generative adversarial networks in Python for 3D meshes corresponding to Iberian vessels. We will report several python libraries (scikit-image, pytorch, visdom, etc.) and how they are used in this particular pipeline. The main goal of augmenting our dataset in 3D is to perform fragment part identification and vessel reconstruction.</li><li><a title="The internet will continue to make life better | Pew Research Center" rel="nofollow" href="https://www.pewresearch.org/internet/2019/10/28/4-the-internet-will-continue-to-make-life-better/">The internet will continue to make life better | Pew Research Center</a> &mdash; A large share of respondents predict enormous potential for improved quality of life over the next 50 years for most individuals thanks to internet connectivity, although many said the benefits of a wired world are not likely to be evenly distributed.</li><li><a title="Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks | RAND" rel="nofollow" href="https://www.rand.org/pubs/perspectives/PE315.html">Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks | RAND</a> &mdash; Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI applications can be used to support the work of K–12 teachers and the practice of teaching by augmenting teacher capacity rather than replacing teachers. </li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 16: When Philosophy and Python COLLIDE! - Part 2</title>
  <link>https://www.teachingpython.fm/16</link>
  <guid isPermaLink="false">b6d33d17-bfc6-44a1-b970-b5fe026ff690</guid>
  <pubDate>Tue, 02 Apr 2019 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/b6d33d17-bfc6-44a1-b970-b5fe026ff690.mp3" length="17566402" type="audio/mpeg"/>
  <itunes:episode>16</itunes:episode>
  <itunes:title>When Philosophy and Python COLLIDE! - Part 2</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>Sean and Kelly continue their conversation about the philosophy and ethics of machine learning and artificial intelligence in Python. This episode focuses more on resources and tools for AI learning after last episode's focus on philosophy and ethics.</itunes:subtitle>
  <itunes:duration>44:31</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/cover.jpg?v=3"/>
  <description>&lt;p&gt;Sean and Kelly continue their conversation about the philosophy and ethics of machine learning and artificial intelligence in Python. This episode focuses more on resources and tools for AI learning after last episode's focus on philosophy and ethics. &lt;/p&gt;
</description>
  <itunes:keywords>python,artificial intelligence,machine learning, philosophy</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Sean and Kelly continue their conversation about the philosophy and ethics of machine learning and artificial intelligence in Python. This episode focuses more on resources and tools for AI learning after last episode&#39;s focus on philosophy and ethics.</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.patreon.com/teachingpython">Patreon</a>: <a rel="nofollow" href="https://www.patreon.com/teachingpython">Want to hear more episodes from Kelly and Sean? Support us on Patreon so we can hire an audio editor!</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="What is Amazon Machine Learning? - Amazon Machine Learning" rel="nofollow" href="https://docs.aws.amazon.com/machine-learning/latest/dg/what-is-amazon-machine-learning.html">What is Amazon Machine Learning? - Amazon Machine Learning</a> &mdash; Amazon Machine Learning (Amazon ML) is a robust, cloud-based service that makes it easy for developers of all skill levels to use machine learning technology. </li><li><a title="Build a PID Controller with Python – Onion" rel="nofollow" href="https://onion.io/2bt-pid-control-python/">Build a PID Controller with Python – Onion</a> &mdash; This week we‘ll be learning how to build a PID Controller using Python, the Omega2, and our recently released ADC Expansion. We’re going to use our PID Controller to keep an incubator at a constant temperature, but this&nbsp;setup can be easily modified and the code reused for your own purposes!&nbsp;</li><li><a title="The Difference Between YouTube’s Automatic Captions, DIY Captions, and 3Play Media Captions – 3Play Media" rel="nofollow" href="https://www.3playmedia.com/2019/02/04/the-difference-between-youtubes-automatic-captions-diy-captions-and-3play-media-captions/">The Difference Between YouTube’s Automatic Captions, DIY Captions, and 3Play Media Captions – 3Play Media</a> &mdash; Have you ever watched a seemingly innocuous video with YouTube’s automatic captions? If not, go check it out.</li><li><a title="Experiments with style transfer" rel="nofollow" href="http://genekogan.com/works/style-transfer/">Experiments with style transfer</a> &mdash; Style transfer is the technique of recomposing images in the style of other images. These were mostly created using Justin Johnson’s code based on the paper by Gatys, Ecker, and Bethge demonstrating a method for restyling images using convolutional neural networks.</li><li><a title="New Sims - PhET Simulations" rel="nofollow" href="https://phet.colorado.edu/en/simulations/category/new">New Sims - PhET Simulations</a> &mdash; By converting our sims to HTML5, we make them seamlessly available across platforms and devices. Whether you have laptops, iPads, chromebooks, or BYOD, your favorite PhET sims are always right at your fingertips.</li><li><a title="New App Makes It Easier to Colorize Old Photos | Smart News | Smithsonian" rel="nofollow" href="https://www.smithsonianmag.com/smart-news/new-app-joins-ai-and-artists-colorize-old-photos-180963396/">New App Makes It Easier to Colorize Old Photos | Smart News | Smithsonian</a> &mdash; The software combines human input and a sophisticated neural network to make historical images pop</li><li><a title="Jason Yosinski" rel="nofollow" href="http://yosinski.com/deepvis">Jason Yosinski</a> &mdash; Deep neural networks have recently been producing amazing results! But how do they do what they do? Historically, they have been thought of as “black boxes”, meaning that their inner workings were mysterious and inscrutable. Recently, we and others have started shinning light into these black boxes to better understand exactly what each neuron has learned and thus what computation it is performing.</li><li><a title="Convolution -- from Wolfram MathWorld" rel="nofollow" href="http://mathworld.wolfram.com/Convolution.html">Convolution -- from Wolfram MathWorld</a> &mdash; A convolution is an integral that expresses the amount of overlap of one function  as it is shifted over another function .</li><li><a title="TensorSpace.js" rel="nofollow" href="https://tensorspace.org/">TensorSpace.js</a> &mdash; Interactive
Use Keras-like API to build interactive models in browsers

Intuitive
Visualize the information from intermediate inferences

Integrative
Support pre-trained models from TensorFlow, Keras, TensorFlow.js</li><li><a title="A Neural Network Playground" rel="nofollow" href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.20651&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">A Neural Network Playground</a> &mdash; Tinker With a Neural Network Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.</li><li><a title="Image Kernels explained visually" rel="nofollow" href="http://setosa.io/ev/image-kernels/">Image Kernels explained visually</a> &mdash; An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image.</li><li><a title="(77) Convolutional Neural Network Visualization by Otavio Good - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=f0t-OCG79-U">(77) Convolutional Neural Network Visualization by Otavio Good - YouTube</a> &mdash; Cropped and edited video-only excerpt of a great talk given by Otavio Good. Full talk titled "A visual and intuitive understanding of deep learning"</li><li><a title="Like Animals, AI Is Learning From Experience" rel="nofollow" href="https://singularityhub.com/2019/03/18/like-animals-ai-is-learning-from-experience/#sm.000018t7uij157e0kpz0whobdt47b">Like Animals, AI Is Learning From Experience</a> &mdash; Trial and error is one of the most fundamental learning strategies employed by animals, and we’re increasingly using it to teach intelligent machines too. Boosting the flow of ideas between biologists and computer scientists studying the approach could solve mysteries in animal cognition and help develop powerful new algorithms, say researchers.</li><li><a title="(77) Numbers in Python Version 3 || Python Tutorial || Learn Python Programming - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=_87ASgggEg0&amp;feature=youtu.be">(77) Numbers in Python Version 3 || Python Tutorial || Learn Python Programming - YouTube</a> &mdash; Today we talk about the different types of numbers available in Python version 3.  There are three types of numbers in Python V3: ints, floats and complex numbers. </li><li><a title="Mate Labs | Machine Learning for You" rel="nofollow" href="https://www.matelabs.ai/">Mate Labs | Machine Learning for You</a> &mdash; Welcome to Mateverse: The Machine Learning Platform engineered for business professionals.Use Mateverse to craft tailored Machine Learning and Deep Learning models in a matter of minutes without writing a single line of code.</li><li><a title="FAU Colab Notebook - Colaboratory" rel="nofollow" href="https://colab.research.google.com/drive/1uL7_woGrK7GviAlJkvB5IPu8P2Dwo2_L">FAU Colab Notebook - Colaboratory</a> &mdash; Shared with permission from Elan Barenholtz (THANKS!)</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Sean and Kelly continue their conversation about the philosophy and ethics of machine learning and artificial intelligence in Python. This episode focuses more on resources and tools for AI learning after last episode&#39;s focus on philosophy and ethics.</p><p>Sponsored By:</p><ul><li><a rel="nofollow" href="https://www.patreon.com/teachingpython">Patreon</a>: <a rel="nofollow" href="https://www.patreon.com/teachingpython">Want to hear more episodes from Kelly and Sean? Support us on Patreon so we can hire an audio editor!</a></li></ul><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="What is Amazon Machine Learning? - Amazon Machine Learning" rel="nofollow" href="https://docs.aws.amazon.com/machine-learning/latest/dg/what-is-amazon-machine-learning.html">What is Amazon Machine Learning? - Amazon Machine Learning</a> &mdash; Amazon Machine Learning (Amazon ML) is a robust, cloud-based service that makes it easy for developers of all skill levels to use machine learning technology. </li><li><a title="Build a PID Controller with Python – Onion" rel="nofollow" href="https://onion.io/2bt-pid-control-python/">Build a PID Controller with Python – Onion</a> &mdash; This week we‘ll be learning how to build a PID Controller using Python, the Omega2, and our recently released ADC Expansion. We’re going to use our PID Controller to keep an incubator at a constant temperature, but this&nbsp;setup can be easily modified and the code reused for your own purposes!&nbsp;</li><li><a title="The Difference Between YouTube’s Automatic Captions, DIY Captions, and 3Play Media Captions – 3Play Media" rel="nofollow" href="https://www.3playmedia.com/2019/02/04/the-difference-between-youtubes-automatic-captions-diy-captions-and-3play-media-captions/">The Difference Between YouTube’s Automatic Captions, DIY Captions, and 3Play Media Captions – 3Play Media</a> &mdash; Have you ever watched a seemingly innocuous video with YouTube’s automatic captions? If not, go check it out.</li><li><a title="Experiments with style transfer" rel="nofollow" href="http://genekogan.com/works/style-transfer/">Experiments with style transfer</a> &mdash; Style transfer is the technique of recomposing images in the style of other images. These were mostly created using Justin Johnson’s code based on the paper by Gatys, Ecker, and Bethge demonstrating a method for restyling images using convolutional neural networks.</li><li><a title="New Sims - PhET Simulations" rel="nofollow" href="https://phet.colorado.edu/en/simulations/category/new">New Sims - PhET Simulations</a> &mdash; By converting our sims to HTML5, we make them seamlessly available across platforms and devices. Whether you have laptops, iPads, chromebooks, or BYOD, your favorite PhET sims are always right at your fingertips.</li><li><a title="New App Makes It Easier to Colorize Old Photos | Smart News | Smithsonian" rel="nofollow" href="https://www.smithsonianmag.com/smart-news/new-app-joins-ai-and-artists-colorize-old-photos-180963396/">New App Makes It Easier to Colorize Old Photos | Smart News | Smithsonian</a> &mdash; The software combines human input and a sophisticated neural network to make historical images pop</li><li><a title="Jason Yosinski" rel="nofollow" href="http://yosinski.com/deepvis">Jason Yosinski</a> &mdash; Deep neural networks have recently been producing amazing results! But how do they do what they do? Historically, they have been thought of as “black boxes”, meaning that their inner workings were mysterious and inscrutable. Recently, we and others have started shinning light into these black boxes to better understand exactly what each neuron has learned and thus what computation it is performing.</li><li><a title="Convolution -- from Wolfram MathWorld" rel="nofollow" href="http://mathworld.wolfram.com/Convolution.html">Convolution -- from Wolfram MathWorld</a> &mdash; A convolution is an integral that expresses the amount of overlap of one function  as it is shifted over another function .</li><li><a title="TensorSpace.js" rel="nofollow" href="https://tensorspace.org/">TensorSpace.js</a> &mdash; Interactive
Use Keras-like API to build interactive models in browsers

Intuitive
Visualize the information from intermediate inferences

Integrative
Support pre-trained models from TensorFlow, Keras, TensorFlow.js</li><li><a title="A Neural Network Playground" rel="nofollow" href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.20651&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">A Neural Network Playground</a> &mdash; Tinker With a Neural Network Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.</li><li><a title="Image Kernels explained visually" rel="nofollow" href="http://setosa.io/ev/image-kernels/">Image Kernels explained visually</a> &mdash; An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image.</li><li><a title="(77) Convolutional Neural Network Visualization by Otavio Good - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=f0t-OCG79-U">(77) Convolutional Neural Network Visualization by Otavio Good - YouTube</a> &mdash; Cropped and edited video-only excerpt of a great talk given by Otavio Good. Full talk titled "A visual and intuitive understanding of deep learning"</li><li><a title="Like Animals, AI Is Learning From Experience" rel="nofollow" href="https://singularityhub.com/2019/03/18/like-animals-ai-is-learning-from-experience/#sm.000018t7uij157e0kpz0whobdt47b">Like Animals, AI Is Learning From Experience</a> &mdash; Trial and error is one of the most fundamental learning strategies employed by animals, and we’re increasingly using it to teach intelligent machines too. Boosting the flow of ideas between biologists and computer scientists studying the approach could solve mysteries in animal cognition and help develop powerful new algorithms, say researchers.</li><li><a title="(77) Numbers in Python Version 3 || Python Tutorial || Learn Python Programming - YouTube" rel="nofollow" href="https://www.youtube.com/watch?v=_87ASgggEg0&amp;feature=youtu.be">(77) Numbers in Python Version 3 || Python Tutorial || Learn Python Programming - YouTube</a> &mdash; Today we talk about the different types of numbers available in Python version 3.  There are three types of numbers in Python V3: ints, floats and complex numbers. </li><li><a title="Mate Labs | Machine Learning for You" rel="nofollow" href="https://www.matelabs.ai/">Mate Labs | Machine Learning for You</a> &mdash; Welcome to Mateverse: The Machine Learning Platform engineered for business professionals.Use Mateverse to craft tailored Machine Learning and Deep Learning models in a matter of minutes without writing a single line of code.</li><li><a title="FAU Colab Notebook - Colaboratory" rel="nofollow" href="https://colab.research.google.com/drive/1uL7_woGrK7GviAlJkvB5IPu8P2Dwo2_L">FAU Colab Notebook - Colaboratory</a> &mdash; Shared with permission from Elan Barenholtz (THANKS!)</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 15: When Philosophy and Python COLLIDE! - Part 1</title>
  <link>https://www.teachingpython.fm/15</link>
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  <pubDate>Wed, 20 Mar 2019 00:30:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/ca5a574b-c9cc-42d2-a805-ee547223f288.mp3" length="19024683" type="audio/mpeg"/>
  <itunes:episode>15</itunes:episode>
  <itunes:title>When Philosophy and Python COLLIDE! - Part 1</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>After a two day workshop on AI and Deep Learning, Kelly and Sean get philosophical about Python. From deep fakes to logical proofs to future non-driving generations that rely on self-driving cars, they'll explore the close relationship between computer science, ethics, and philosophy</itunes:subtitle>
  <itunes:duration>40:28</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/cover.jpg?v=3"/>
  <description>&lt;p&gt;After a two day workshop on AI and Deep Learning, Kelly and Sean get philosophical about Python. From deep fakes to logical proofs to future non-driving generations that rely on self-driving cars, they'll explore the close relationship between computer science, ethics, and philosophy &lt;/p&gt;
</description>
  <itunes:keywords>python, philosophy, ai, deep learning</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>After a two day workshop on AI and Deep Learning, Kelly and Sean get philosophical about Python. From deep fakes to logical proofs to future non-driving generations that rely on self-driving cars, they&#39;ll explore the close relationship between computer science, ethics, and philosophy</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Pine Crest Innovation Institute" rel="nofollow" href="https://hubs.ly/H0gTnvB0">Pine Crest Innovation Institute</a></li><li><a title="Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University" rel="nofollow" href="https://www.cmu.edu/dietrich/philosophy/index.html">Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University</a> &mdash; Our vision of philosophy is interdisciplinary, rigorous, applied and relevant.
We do research on the foundations of science, computation, mathematics, rationality, causation, cognitive science, and other disciplines. We publish in philosophy, mathematics, computer science, biology, medicine, neuroscience, statistics, social science, educational research, linguistics, and other disciplines. </li><li><a title="Kelly&#39;s Jupyter Notebook" rel="nofollow" href="https://colab.research.google.com/drive/1TFa3kEhOEIGYAUy9vI5KQSCRUMDTyS_V">Kelly's Jupyter Notebook</a></li><li><a title="About the MPCR | Machine Perception and Cognitive Robotics" rel="nofollow" href="http://mpcrlab.com/about-page/">About the MPCR | Machine Perception and Cognitive Robotics</a> &mdash; The Machine Perception and Cognitive Robotic Lab (MPCR) is dedicated to applying, creating, and merging cutting edge technology across all disciplines.</li><li><a title="micro:bit holder by geekmomprojects - Thingiverse" rel="nofollow" href="https://www.thingiverse.com/thing:2750805">micro:bit holder by geekmomprojects - Thingiverse</a> &mdash; This stand holds 20 micro:bit boards vertically. It's a good way to organize and quickly count the micro:bit boards in a classroom setting.</li></ul>]]>
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    <![CDATA[<p>After a two day workshop on AI and Deep Learning, Kelly and Sean get philosophical about Python. From deep fakes to logical proofs to future non-driving generations that rely on self-driving cars, they&#39;ll explore the close relationship between computer science, ethics, and philosophy</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Pine Crest Innovation Institute" rel="nofollow" href="https://hubs.ly/H0gTnvB0">Pine Crest Innovation Institute</a></li><li><a title="Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University" rel="nofollow" href="https://www.cmu.edu/dietrich/philosophy/index.html">Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University</a> &mdash; Our vision of philosophy is interdisciplinary, rigorous, applied and relevant.
We do research on the foundations of science, computation, mathematics, rationality, causation, cognitive science, and other disciplines. We publish in philosophy, mathematics, computer science, biology, medicine, neuroscience, statistics, social science, educational research, linguistics, and other disciplines. </li><li><a title="Kelly&#39;s Jupyter Notebook" rel="nofollow" href="https://colab.research.google.com/drive/1TFa3kEhOEIGYAUy9vI5KQSCRUMDTyS_V">Kelly's Jupyter Notebook</a></li><li><a title="About the MPCR | Machine Perception and Cognitive Robotics" rel="nofollow" href="http://mpcrlab.com/about-page/">About the MPCR | Machine Perception and Cognitive Robotics</a> &mdash; The Machine Perception and Cognitive Robotic Lab (MPCR) is dedicated to applying, creating, and merging cutting edge technology across all disciplines.</li><li><a title="micro:bit holder by geekmomprojects - Thingiverse" rel="nofollow" href="https://www.thingiverse.com/thing:2750805">micro:bit holder by geekmomprojects - Thingiverse</a> &mdash; This stand holds 20 micro:bit boards vertically. It's a good way to organize and quickly count the micro:bit boards in a classroom setting.</li></ul>]]>
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