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Linear Algebra And Learning From Data Gilbert Strang

  • SKU: BELL-22136810
Linear Algebra And Learning From Data Gilbert Strang
$ 31.00 $ 45.00 (-31%)

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Linear Algebra And Learning From Data Gilbert Strang instant download after payment.

Publisher: Wellesley Cambridge Press
File Extension: PDF
File size: 304.99 MB
Pages: 484
Author: Gilbert Strang
ISBN: 9780692196380, 0692196382
Language: English
Year: 2019

Product desciption

Linear Algebra And Learning From Data Gilbert Strang by Gilbert Strang 9780692196380, 0692196382 instant download after payment.

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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