Fundamentals of machine learning for predictive data analytics :
algorithms, worked examples, and case studies /
John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.
Main Creator: | |
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Contributors: | |
Format: | Book |
Language: | English |
Published / Created: |
Cambridge, Massachusetts :
The MIT Press,
[2015]
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Subjects: | |
Notes: | Includes bibliographical references (pages 557-563) and index. Physical description: xxii, 595 pages : illustrations ; 24 cm more |
ISBN: | 9780262029445 (hardcover : alk. paper) 0262029448 (hardcover : alk. paper) |
Table of 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.
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.