Amazon cover image
Image from Amazon.com

Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher

By: Material type: TextTextPublication details: Cambridge, Massachusetts : The MIT Press, Cambridge, c2015Description: xxii, 595 pages ; 23 cmISBN:
  • 9780262029445
Subject(s): LOC classification:
  • Q 325.5 .K45 2015
Contents:
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.
Summary: A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Item type: Books
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books 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

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.

There are no comments on this title.

to post a comment.