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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Opis bibliograficzny
1. autor:	Deisenroth, Marc Peter
Kolejni autorzy:	Aldo Faisal, A
Format:	Książka
Język:	Undetermined
Wydane:	Cambridge ;New York, NY Cambridge University Press 2020
Hasła przedmiotowe:	Machine learning > Mathematics; Toán học > Ứng dụng
Dostęp online:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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

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