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(Ebook) Linear Algebra and Learning from Data by Gilbert Strang ISBN 9780692196380, 0692196382

  • SKU: EBN-58780044
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Authors:Gilbert Strang
Pages:448 pages.
Year:2019
Editon:First Edition
Publisher:Wellesley-Cambridge Press
Language:english
File Size:25.22 MB
Format:pdf
ISBNS:9780692196380, 0692196382
Categories: Ebooks

Product desciption

(Ebook) Linear Algebra and Learning from Data by Gilbert Strang ISBN 9780692196380, 0692196382

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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