Mathematics for machine learning
"The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or...
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| フォーマット: | 図書 |
| 言語: | Undetermined |
| 出版事項: |
Cambridge ;New York, NY
Cambridge University Press
2020
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| 主題: | |
| オンライン･アクセス: | http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689 |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Thủ Dầu Một |
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