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Understanding machine learning: from theory to algorithms/ Shai Shalev-Shwartz, the Hebrew University, Jerusalem, Shai Ben-David, University of Waterloo, Canada.
Publisher: New York, NY, USA: Cambridge University Press, 2014Description: xvi, 397 pages: illustrations; 26 cmISBN:- 9781107057135
- 1107057132
- 006.31 S528u
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Books
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Castorina Estantes Abertas (Open Shelves) | Livros (Books) | 006.31 S528u 2014 IMPA (Browse shelf(Opens below)) | 1 | Checked out | 2024-05-27 | 39063000800999 |
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| 006.31 N693s 2021 IMPA Synthetic data for deep learning / | 006.31 P972a 1990 IMPA The algorithmic beauty of plants/ | 006.31 S368l 2002 IMPA Learning with kernels: support vector machines, regularization, optimization, and beyond/ | 006.31 S528u 2014 IMPA Understanding machine learning: from theory to algorithms/ | 006.31 V286n 2000 IMPA The nature of statistical learning theory/ | 006.312 K15s 2009 IMPA Scientific data mining: a practical perspective/ | 006.32 A266n 2018 IMPA Neural networks and deep learning: a textbook/ |
Includes bibliographical references (pages 385-393) and index.
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