Mathematics for machine learning

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Mathematics for machine learning

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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 comput...

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書誌詳細
第一著者:	Deisenroth, Marc Peter
その他の著者:	Faisal, A. Aldo, Ong, Cheng Soon
フォーマット:	図書
言語:	Vietnamese
出版事項:	New York Cambridge University Press 2020
主題:	Công nghệ thông tin
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

Thư viện lưu trữ:	Thư viện Trường Đại học Nam Cần Thơ

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