Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher
Material type:
TextPublication details: Massachusetts : The MIT Press, Cambridge, c2015Description: xxii, 595 pages ; 23 cmISBN: 9780262029445Subject(s): DATA MINING | MACHINE LEARNINGLOC classification: Q 325.5 .K45 2015
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LRC - Graduate Studies | National University - Manila | Gen. Ed. - CCIT | General Circulation | GC Q 325.5 .K45 2015 (Browse shelf (Opens below)) | c.1 | Available | NULIB000013769 |
Includes bibliographical references and index.
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.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
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