Table of contents
Frontmatter
CONTENTS
Preface
Chapter 1 Introduction to Python 3
Chapter 2 Conditional Logic, Loops, and Functions
Chapter 3 Python Collections
Chapter 4 Introduction to NumPy and Pandas
Chapter 5 Introduction to Machine Learning
Chapter 6 Classifiers in Machine Learning
Chapter 7 Natural Language Processing and Reinforcement Learning
Appendix A Introduction to Regular Expressions
Appendix B Introduction to Keras
Appendix C Introduction to TF 2
Index
14 chapters available
Initializing PDF viewer...
PDF ISBN: 978-1-68392-493-7 | E-Pub ISBN: 978-1-68392-494-4 | Paperback ISBN: 978-1-68392-495-1 | DOI: 10.1515/9781683924937
Publisher: Mercury Learning and Information
Copyright owner: © 2020 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2020
Language: English
Pages: 364
Related subjects: