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An Introduction to Machine Learning

  • Gopinath Rebala
  • Ajay Ravi
  • Sanjay Churiwala

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 1-17
  3. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 19-23
  4. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 25-40
  5. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 41-56
  6. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 57-66
  7. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 67-76
  8. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 77-94
  9. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 95-102
  10. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 103-116
  11. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 117-125
  12. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 127-140
  13. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 141-152
  14. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 153-167
  15. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 169-179
  16. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 181-194
  17. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 195-211
  18. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 213-241
  19. Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
    Pages 243-256
  20. Back Matter
    Pages 257-263

About this book

Introduction

Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms.  Many of the mathematical concepts are explained in an intuitive manner.  The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with.  

  • Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic;
  • Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning;
  • Not tied to any specific software language or hardware implementation. 

Keywords

Deep Learning Cloud computing Big data Feature Search/Convolution Natural Language Processing

Authors and affiliations

  • Gopinath Rebala
    • 1
  • Ajay Ravi
    • 2
  • Sanjay Churiwala
    • 3
  1. 1.OpsMx IncSan RamonUSA
  2. 2.San JoseUSA
  3. 3.HyderabadIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-15729-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-15728-9
  • Online ISBN 978-3-030-15729-6
  • Buy this book on publisher's site