Machine learning under a modern optimization lens (Record no. 213930)
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| 000 -LEADER | |
|---|---|
| fixed length control field | aam a22 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191227b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781733788502 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bertsimas, Dimitris |
| 9 (RLIN) | 389271 |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning under a modern optimization lens |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Dynamic Ideas LLC |
| Date of publication, distribution, etc | 2019 |
| Place of publication, distribution, etc | Massachusetts |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 589 p. |
| Other physical details | Includes reference and index |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Table of Contents<br/><br/>1. The optimization lenses<br/>I. Regression and extension<br/>II. Optimal trees for classification and regression<br/>III. Prescriptive analytics<br/>IV. The power of optimization over randomization<br/>V. Unsupervised methods<br/>VI. Matrix methods<br/>VII. Optimization via a machine learning lens |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The book provides an original treatment of machine learning (ML) using convex, robust and mixed integer optimization that leads to solutions to central ML problems at large scale that can be found in seconds/minutes, can be certified to be optimal in minutes/hours, and outperform classical heuristic approaches in out-of-sample experiments.<br/><br/>https://lib.mit.edu/record/cat00916a/mit.002821190 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 9 (RLIN) | 389272 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Lens optimization |
| 9 (RLIN) | 389273 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Matrix methods |
| 9 (RLIN) | 389274 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Perspective analytics |
| 9 (RLIN) | 389275 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dunn, Jack |
| Relator term | Co-author |
| 9 (RLIN) | 389276 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Item location | Total Checkouts | Total Renewals | Full call number | Barcode | Checked out | Date last seen | Date last borrowed | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Non-fiction | Vikram Sarabhai Library | Vikram Sarabhai Library | General Stacks | 27/12/2019 | 119 | 14.00 | Rack 4-A / Slot 106 (0 Floor, West Wing) | 5 | 11 | 006.31 B3M2 | 200849 | 14/08/2024 | 13/09/2021 | 13/09/2021 | 7795.70 | Books |