Machine learning refined: foundations, algorithms, and applications
Publication details: Cambridge University Press, 2020. New York:Edition: 2nd EdDescription: xxi, 574 p. hb; 25 cmISBN:- 9781108480727
- 006.31 WAT
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
Books | IIT Gandhinagar General Stacks | General | 006.31 WAT (Browse shelf(Opens below)) | 1 | Available | 028835 |
The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more
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