A Concise Introduction to Machine Learning

1st Edition

A.C. Faul

Chapman and Hall/CRC
Published August 5, 2019
Textbook - 314 Pages - 123 B/W Illustrations
ISBN 9780815384205 - CAT# K339651
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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Summary

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise.

This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques.

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