An Introduction to Machine Learning - Hardcover

Rebala, Gopinath; Ravi, Ajay; Churiwala, Sanjay

Hardcover

ISBN 10: 3030157288 ISBN 13: 9783030157289

Publisher: Springer, 2019

Synopsis

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 priorknowledge 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. 
  

About this title

About the Author

Gopinath Rebala is Chief Technical Officer at OpsMx, Inc. in San Ramon, California.

 Ajay Ravi is a Software Engineer at Intel, Inc. in San Jose, California.

 Sanjay Churiwala is Senior Director at Xilinx, in Hyderabad, India.   

From the Back Cover

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 priorknowledge 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. 
  

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 3030157288
• ISBN 13: 9783030157289
• Binding: Hardcover
• Edition number: 1
• Number of pages: 285