Overview
- 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
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: An Introduction to Machine Learning
Authors: Gopinath Rebala, Ajay Ravi, Sanjay Churiwala
DOI: https://doi.org/10.1007/978-3-030-15729-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-15728-9Published: 17 May 2019
eBook ISBN: 978-3-030-15729-6Published: 07 May 2019
Edition Number: 1
Number of Pages: XXII, 263
Number of Illustrations: 6 b/w illustrations, 77 illustrations in colour
Topics: Circuits and Systems, Artificial Intelligence, Computational Intelligence