Mathematics for machine learning

"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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Detalles Bibliográficos
Autor principal: Deisenroth, Marc Peter
Otros Autores: Aldo Faisal, A
Formato: Libro
Lenguaje:Undetermined
Publicado: Cambridge ;New York, NY Cambridge University Press 2020
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Acceso en línea:http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41689
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