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Machine Learning: a Concise Introduction (Wiley Series in Probability and Statistics) by Steven W. Knox is a nonfiction available to read on EtoBox.

What is Machine Learning: a Concise Introduction (Wiley Series in Probability and Statistics) about?

**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

Who reads Machine Learning: a Concise Introduction (Wiley Series in Probability and Statistics)?

Author

Steven W. Knox

Publisher

John Wiley & Sons, Incorporated

Published

2018

Language

EN

ISBN

9781119439196

Category

nonfiction

Subjects

Science, Computer Science, Stem