Image from Google Jackets

Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.

By: Contributor(s): Material type: TextTextPublisher: Cambridge, Massachusetts : Massachusetts Institute of Technology Press (MIT), [2015]Copyright date: c2015Description: xxii, 595 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780262029445 (hardcover : alk. paper)
Subject(s): Genre/Form: DDC classification:
  • 006.31 KEL 22
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 analytics.
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 Collection Call number Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Baccah 006.31 KEL (Browse shelf(Opens below)) Available 000048897
Total holds: 0

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 analytics.

There are no comments on this title.

to post a comment.

© BUE Library 2020