This episode dives into the multifaceted realm of Natural Language Processing (NLP) with a guest expert, [Ines Montani](#). The discussion revolves around the use of Python in the context of NLP, the complexities of language, the design of label schemes, and how educators and students can dive into this intriguing area. The conversation also touches on tools such as Prodigy and Spacy, as well as practical applications, including a humorous digression on the popular game, Fortnite. Teachers are encouraged to explore NLP with their students, emphasizing the importance of hands-on experience and data annotation. There's also a mention of a fascinating project involving a "magic mirror" powered by Raspberry Pi.Support Teaching Python
- ines.io — Hi, I’m Ines. I’m a software developer working on Artificial Intelligence and Natural Language Processing technologies, and the co-founder and CEO of Explosion. We’re the makers of spaCy, one of the leading open-source libraries for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.
- Explosion — Company co-founded by Ines, specializing in AI and NLP developer tools.
- spaCy · Industrial-strength Natural Language Processing in Python — A leading Python library for NLP, designed to help process and understand large amounts of textual data.
- Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP — An interactive annotation tool for AI and machine learning, mentioned extensively in the conversation.
- MagicMirror² — The open source modular smart mirror platform
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