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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Detaylı Bibliyografya
Yazar:	Deisenroth, Marc Peter
Diğer Yazarlar:	Aldo Faisal, A
Materyal Türü:	Kitap
Dil:	Undetermined
Baskı/Yayın Bilgisi:	Cambridge ;New York, NY Cambridge University Press 2020
Konular:	Machine learning > Mathematics; Toán học > Ứng dụng
Online Erişim:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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