Gilbert Strang

(Author)

Linear Algebra and Learning from DataHardcover, 28 February 2019

Linear Algebra and Learning from Data
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Print Length
446 pages
Language
English
Publisher
Wellesley College
Date Published
28 Feb 2019
ISBN-10
0692196382
ISBN-13
9780692196380

Description

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Product Details

Author:
Gilbert Strang
Book Format:
Hardcover
Date Published:
28 February 2019
Dimensions:
24.21 x 19.61 x 2.49 cm
ISBN-10:
0692196382
ISBN-13:
9780692196380
Language:
English
Location:
Wellesley
Pages:
446
Weight:
929.86 gm

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