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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Dades bibliogràfiques
Autor principal:	Deisenroth, Marc Peter
Altres autors:	Faisal, A. Aldo, Ong, Cheng Soon
Format:	Llibre
Idioma:	Vietnamese
Publicat:	New York Cambridge University Press 2020
Matèries:	Công nghệ thông tin
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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

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