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Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / Kelleher, John D.
Material type:
TextLanguage: English Publisher: Cambridge : The MIT Press, 2020Edition: 2nd edDescription: liv, 798 p. : ill. ; 25 cmISBN: - 9780262044691
- 006.31
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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B. K. Birla College Library | Degree College Books | 006.31 KEL (Browse shelf(Opens below)) | Available | 89700 |
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| 006.31 GOO Deep learning / | 006.31 HAC Maching learning / | 006.31 HAC Maching learning / | 006.31 KEL Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / | 006.31 LAN Practical machine learning with R : tutorials and case studies / | 006.31 MIT Machine Learning / | 006.31 MIT Machine learning / |
Includes bibliographical references and index
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