Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher
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TextPublication details: Cambridge, Massachusetts : The MIT Press, Cambridge, c2015Description: xxii, 595 pages ; 23 cmISBN: - 9780262029445
- Q 325.5 .K45 2015
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed. - CCIT | GC Q 325.5 .K45 2015 (Browse shelf(Opens below)) | c.1 | Available | NULIB000013769 |
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| GC LC 3965 .S9 1986 Systems and models for developing programs for the gifted and talented / | GC P 128.C68 .R47 2010 Using corpora in the language classroom / | GC Q 188.3.A1 .A83 2003 Standards in the classroom : an implementation guide for teachers of science and mathematics / | GC Q 325.5 .K45 2015 Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / | GC QA 9.59 .T68 2012 c.1 Theory of computation / | GC QA 37.2 .H95 2006 Vedic mathematics / | GC QA 75.5 .T44 2015 c.1 Theory and practice of computation proceedings of workshop on computation / |
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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