Linear Algebra and Learning from Data (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
446
Utgivningsdatum
2019-01-31
Förlag
Wellesley-Cambridge Press
Dimensioner
239 x 196 x 24 mm
Vikt
920 g
ISBN
9780692196380

Linear Algebra and Learning from Data

av Gilbert Strang, Gilbert Strang
(1 röst)
Inbunden,  Engelska, 2019-01-31
806
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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.

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