Natural Language Processing and Machine Learning for Developers
Publisher:Mercury Learning and Information
By: Oswald Campesato
Paid access
|Jun 2021
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
21 chapters available
PDF ISBN: 978-1-68392-617-7 | E-Pub ISBN: 978-1-68392-616-0 | Paperback ISBN: 978-1-68392-618-4 | DOI: 10.1515/9781683926177
Publisher: Mercury Learning and Information
Copyright owner: © 2021 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 754
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