A Concise Introduction to Machine Learning

Name: A Concise Introduction to Machine Learning
Brand: Taylor & Francis
Price: 102.35 AUD
Availability: PreOrder

By: A.C. Faul

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eText | 14 May 2025 | Edition Number 2

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New Edition

Published: 1st August 2019

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$102.35

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Available: 14th May 2025

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A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.

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. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.

This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.