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...

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Dades bibliogràfiques
Autor principal:	Deisenroth, Marc Peter
Altres autors:	Aldo Faisal, A
Format:	Llibre
Idioma:	Undetermined
Publicat:	Cambridge ;New York, NY Cambridge University Press 2020
Matèries:	Machine learning > Mathematics; Toán học > Ứng dụng
Accés en línia:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Thủ Dầu Một

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