Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.
Material type: TextPublisher: Cambridge, Massachusetts : Massachusetts Institute of Technology Press (MIT), [2015]Copyright date: c2015Description: xxii, 595 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9780262029445 (hardcover : alk. paper)
- 006.31 KEL 22
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Book - Borrowing | Central Library Lower Floor | Baccah | 006.31 KEL (Browse shelf(Opens below)) | Available | 000048897 |
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.
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