Chapter 2: Foundations of Machine Learning
Chapter in the book
Publisher:Mercury Learning and Information
By: Herman L. Erik
Paid access
|Nov 2024
Table of contents
Frontmatter
Contents
Preface
Chapter 1: The Foundations of Artificial Intelligence
Chapter 2: Foundations of Machine Learning
Chapter 3: Deep Learning and Neural Networks
Chapter 4: Natural Language Processing (NLP)
Chapter 5: Computer Vision
Chapter 6: Ethics and Bias in AI
Chapter 7: AI in Practice: Industry Case Studies
Chapter 8: Future of AI and Emerging Technologies
Chapter 9: Getting Started With AI Development
Appendix A: Overview of the Lisp Programming Language
Appendix B: Resources and Community
Index
15 chapters available
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PDF ISBN: 978-1-5015-2067-9 | E-Pub ISBN: 978-1-5015-2063-1 | Paperback ISBN: 978-1-5015-2333-5 | DOI: 10.1515/9781501520679
Publisher: Mercury Learning and Information
Copyright owner: © 2025 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2024
Language: English
Pages: 184