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fast.ai Code-First Intro to Natural Language Processing

This covers a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural networ

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About fast.ai Code-First Intro to Natural Language Processing

This covers a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural network approaches (including RNNs, seq2seq, GRUs, and the Transformer), as well as addressing urgent ethical issues, such as bias and disinformation. Find the Jupyter Notebooks here

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Listed 20 April 2026 · www.fast.ai

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