Optimization for data analysis (Record no. 30874)
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| 000 -LEADER | |
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| fixed length control field | a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220627b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781316518984 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Item number | WRI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Wright, Stephen J. |
| 245 ## - TITLE STATEMENT | |
| Title | Optimization for data analysis |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Cambridge University Press, |
| Date of publication, distribution, etc | 2022 |
| Place of publication, distribution, etc | Cambridge : |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 227 p. ; |
| Other physical details | ill., |
| Dimensions | 24 cm |
| 365 ## - TRADE PRICE | |
| Price amount | 37.99 |
| Price type code | GBP |
| Unit of pricing | 100.50 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical optimization |
| Topical term or geographic name as entry element | Quantitative research |
| Topical term or geographic name as entry element | Big data |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Recht, Benjamin |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last borrowed | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | DAU | DAU | 26/06/2022 | 3818.00 | 1 | 005.7 WRI | 033150 | 27/12/2024 | 17/12/2024 | Books |