Natural Language Processing and Machine Learning for Developers / / Oswald Campesato.
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, al...
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (754 p.) |
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Table of Contents:
- 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