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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Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Deisenroth, Marc Peter
Άλλοι συγγραφείς:	Aldo Faisal, A
Μορφή:	Βιβλίο
Γλώσσα:	Undetermined
Έκδοση:	Cambridge ;New York, NY Cambridge University Press 2020
Θέματα:	Machine learning > Mathematics; Toán học > Ứng dụng
Διαθέσιμο Online:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

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

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