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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Главный автор:	Deisenroth, Marc Peter
Другие авторы:	Aldo Faisal, A
Формат:	‌
Язык:	Undetermined
Опубликовано:	Cambridge ;New York, NY Cambridge University Press 2020
Предметы:	Machine learning > Mathematics; Toán học > Ứng dụng
Online-ссылка:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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

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