Machine Learning: A Concise Introduction Hardcover - 2018
by Steven W. Knox
From the rear cover
AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS
Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author--an expert in the field--presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection--essential elements of most applied projects. This important resource:
- Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods
- Presents R source code which shows how to apply and interpret many of the techniques covered
- Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions
- Contains useful information for effectively communicating with clients
A volume in the popular Wiley Series in Probability and Statistics, Machine Learning a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning.
Details
- Title Machine Learning: A Concise Introduction
- Author Steven W. Knox
- Binding Hardcover
- Pages 352
- Volumes 1
- Language ENG
- Publisher Wiley
- Date 2018-04-24
- Features Bibliography, Index
- ISBN 9781119439196 / 1119439191
- Weight 1.55 lbs (0.70 kg)
- Dimensions 9.1 x 6.2 x 0.9 in (23.11 x 15.75 x 2.29 cm)
- Library of Congress subjects Machine learning
- Library of Congress Catalog Number 2017058505
- Dewey Decimal Code 006.31
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