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Natural Language Processing and Machine Learning for Developers
Frontmatter
Contents
Preface
Chapter 1 Introduction to NumPy
Chapter 2 Introduction to Pandas
Chapter 3 NLP Concepts (I)
Chapter 4 NLP Concepts (II)
Chapter 5 Algorithms and Toolkits (I)
Chapter 6 Algorithms and Toolkits (II)
Chapter 7 Introduction to Machine Learning
Chapter 8 Classifiers in Machine Learning
Chapter 9 NLP Applications
Chapter 10 NLP and TF2/Keras
Chapter 11 Transformer, BERT, and GPT
Appendix A Data and Statistics
Appendix B Introduction to Python
Appendix C Introduction to Regular Expressions
Appendix D Introduction to Keras
Appendix E Introduction to TensorFlow 2
Appendix F Data Visualization
Index
Frontmatter
Contents
Preface
Chapter 1 Introduction to NumPy
Chapter 2 Introduction to Pandas
Chapter 3 NLP Concepts (I)
Chapter 4 NLP Concepts (II)
Chapter 5 Algorithms and Toolkits (I)
Chapter 6 Algorithms and Toolkits (II)
Chapter 7 Introduction to Machine Learning
Chapter 8 Classifiers in Machine Learning
Chapter 9 NLP Applications
Chapter 10 NLP and TF2/Keras
Chapter 11 Transformer, BERT, and GPT
Appendix A Data and Statistics
Appendix B Introduction to Python
Appendix C Introduction to Regular Expressions
Appendix D Introduction to Keras
Appendix E Introduction to TensorFlow 2
Appendix F Data Visualization
Index