Machine Learning

by Steven W. Knox

This is an eBook that you can download electronically.

AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS

PROSE Award Finalist 2019
Association of American Publishers Award for Professional and Scholarly Excellence

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.

STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.

SKU: 9781119439073 Format: PDF
KES 16,106
International delivery
Free click & collect
When you buy an ebook from TBC, you will be given a code to download your purchase from our ebook partner Snapplify. After you have redeemed the code and associated it with a Snapplify account, you'll need to download the Snapplify Reader to read your ebooks. The free Snapplify Reader app works across iOS, Android, Chrome OS, Windows and macOS; on tablets and mobile devices, as well as on desktop PCs and Apple Macs.

You're currently browsing Text Book Centre's digital books site. To browse our range of physical books as well as a wide selection of stationery, art supplies, electronics and more, visit our main site at textbookcentre.com!

Reviews

This product does not have any reviews yet.

Add your review