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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

Companion Files.zip

This book is for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included to support myriad topics. The first two chapters contain introductory material for NumPy and Pandas, followed by chapters on NLP concepts, algorithms and toolkits, machine learning, and NLP applications. The final chapters include examples of NLP tasks using TF2 and Keras, the Transformer architecture, BERT-based models, and the GPT family of models.

This book is for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included...

Natural Language Processing and Machine Learning for...

Format

Natural Language Processing and Machine Learning for Developers

Oswald Campesato

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