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Loại CSDL: Sách in
Tác giả: Deisenroth, Marc Peter
Thông tin xb: Cambridge: Cambridge University Press, 2020
Ký hiệu xếp giá: 006.31 / D325
Mô tả vật lý: xvii, 371 p.: illustrations, 26 cm
Nhóm chủ đề: Machine learning--Mathematics
Tác giả bổ sung: Ong, Cheng Soon
Tóm tắt: 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 computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts ...

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