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notebooks/24_NLP_4_ngrams_word_vectors.ipynb

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"Very good starting points for going deeper are:\n",
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"- The book \"Speech and Language Processing\" by Jurafsky and Martin {cite}`jurafsky2024speech`, see [link to the book](https://web.stanford.edu/~jurafsky/slp3/).\n",
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"- \"Natural language processing with transformers\" by Tunstall, von Werra, and Wolf {cite}`tunstall2022natural`\n",
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"- \"The Hundred-Page Language Models Book\" by Andriy Burkov {cite}`burkov_hundred_page_2025`\n",
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"- Another free online course with Python code material: [nlp planet](https://www.nlplanet.org/course-practical-nlp/)."
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]
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