Machine Learning

a Concise Introduction de

Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2018-03-15

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Description

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.
Pages
352 pages
Collection
Wiley Series in Probability and Statistics
Parution
2018-03-15
Marque
Wiley
EAN papier
9781119439196
EAN PDF
9781119439073

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
13414 Ko
Prix
103,34 €
EAN EPUB
9781119438984

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
7291 Ko
Prix
103,34 €