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Linear Algebra and Learning from Data

By Gilbert Strang

Linear Algebra and Learning from Data Computer Science

Linear Algebra and Learning from Data

By Gilbert Strang

0 - Used - good
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
Edition:
1
Number of Pages:
446
Release Date:
2019-01-31
Publication Date:
2019-01-31
Publisher:
Cambridge University Pr.
Languages:
Original: English
ISBN10:
0692196382
ISBN13:
9780692196380
GPSR Manufacturer Reference:
[email protected]
Weight:
944 g
Height:
195 cm
Width:
241 cm
Thickness:
30 cm
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