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Linear Algebra and Learning from Data
Engelsk Hardback
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Linear Algebra and Learning from Data
Engelsk Hardback

803 kr
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Om denne bog
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 detaljer
Sprog:
Engelsk
Sider:
446
ISBN-13:
9780692196380
Indbinding:
Hardback
Udgave:
ISBN-10:
0692196382
Udg. Dato:
31 jan 2019
Længde:
19mm
Bredde:
204mm
Højde:
239mm
Forlag:
Wellesley-Cambridge Press,U.S.
Oplagsdato:
31 jan 2019
Forfatter(e):
Kategori sammenhænge