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| Author(s) :- Boukouvalas Zois (American University Washington DC) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2024-11-21 |
| ISBN-13 :- 9781316518861 | |
| Pagination :- 426 pages, Worked examples or Exercises | |
| Dimensions :- 251 x 177 x 30 | |
| Weight :- 904 |
This accessible, comprehensive guide is aimed at students, practitioners, engineers, and users. The emphasis is on building robust, responsible machine learning products incorporating meaningful metrics, rigorous statistical analysis, fair training sets, and explainability. Implementations in Python and sklearn are available on the book's website.