Kelleher, John D. <br/><br/>
Fundamentals of machine learning for predictive data analytics :  algorithms, worked examples, and case studies / 
John D. Kelleher 
 - Cambridge, Massachusetts :  The MIT Press, Cambridge,  c2015 
 - xxii, 595 pages ;  23 cm. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data. 
<br/><br/> A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. 
<br/><br/><label>ISBN: </label>9780262029445 
<br/><br/><label>Subjects--Topical Terms: </label><br/>DATA MINING
<br/><br/><label>LC Class. No.: </label>Q 325.5 .K45 2015