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Machine Learning and Artificial Intelligence

  • Ameet V Joshi
Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Part I

    1. Front Matter
      Pages 1-1
    2. Ameet V Joshi
      Pages 3-7
  3. Part II

    1. Front Matter
      Pages 31-31
    2. Ameet V Joshi
      Pages 33-41
    3. Ameet V Joshi
      Pages 43-51
    4. Ameet V Joshi
      Pages 53-63
    5. Ameet V Joshi
      Pages 65-71
    6. Ameet V Joshi
      Pages 73-89
    7. Ameet V Joshi
      Pages 99-106
    8. Ameet V Joshi
      Pages 107-115
    9. Ameet V Joshi
      Pages 117-126
    10. Ameet V Joshi
      Pages 127-132
    11. Ameet V Joshi
      Pages 133-140
  4. Part III

    1. Front Matter
      Pages 141-141
    2. Ameet V Joshi
      Pages 143-158
    3. Ameet V Joshi
      Pages 159-167
    4. Ameet V Joshi
      Pages 169-176
  5. Part IV

    1. Front Matter
      Pages 177-177
    2. Ameet V Joshi
      Pages 179-184
    3. Ameet V Joshi
      Pages 185-191
    4. Ameet V Joshi
      Pages 193-198
    5. Ameet V Joshi
      Pages 199-204
  6. Part V

    1. Front Matter
      Pages 205-205
    2. Ameet V Joshi
      Pages 207-220
    3. Ameet V Joshi
      Pages 221-232
  7. Part VI

    1. Front Matter
      Pages 245-245
    2. Ameet V Joshi
      Pages 247-248
  8. Back Matter
    Pages 249-261

About this book

Introduction

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. 

The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.

  • Presents a full reference to artificial intelligence and machine learning techniques - in theory and application;
  • Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible;
  • Connects all ML and AI techniques to applications and introduces implementations.

Keywords

Artificial Intelligence ML Techniques Modern perspective on AI and ML AI reference ML reference AI and Machine Learning

Authors and affiliations

  • Ameet V Joshi
    • 1
  1. 1.Microsoft (United States)RedmondUSA

Bibliographic information