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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.
Special Guest: Ines Montani.
Support Teaching Python
Links:
By Sean Tibor and Kelly Paredes4.7
2323 ratings
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.
Special Guest: Ines Montani.
Support Teaching Python
Links:

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