An Introduction to Machine Learning (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	May 2019
First published:	2019
Authors:	Gopinath Rebala • Ajay Ravi • Sanjay Churiwala
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	263
Edition:	1st ed. 2019
ISBN-13:	978-3-03-015728-9
Categories:	Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-015728-8
Barcode:	9783030157289

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