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nlp_and_ml_algorithm's Introduction

NLP_and_ML_Algorithm

References

  • 斎藤康毅, Deep Learning 2: 用Python進行自然語言處理的基礎理論實作.
  • CS224n: Natural Language Processing with Deep Learning, Stanford University.
  • Raschka, Naive Bayes and Text Classification I - Introduction and Theory.
  • Mikolov et al., Efficient Estimation of Word Representations in Vector Space.
  • Mikolov et al., Distributed Representations of Words and Phrases and their Compositionality.
  • Frey et al., Clustering by Passing Messages Between Data Points.
  • Manning et al., Introduction to Information Retrieval

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