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Linear Algebra and Learning from Data by Gilbert Strang (Hardcover, 2019)

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About this product

Product Information

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 Identifiers

PublisherWellesley-Cambridge Press,U.S.

ISBN-139780692196380

eBay Product ID (ePID)8046545944

Product Key Features

Number of Pages446 Pages

Publication NameLinear Algebra and Learning from Data

LanguageEnglish

SubjectMathematics

Publication Year2019

TypeTextbook

AuthorGilbert Strang

FormatHardcover

Dimensions

Item Height242 mm

Item Weight930 g

Item Width196 mm

Additional Product Features

Country/Region of ManufactureUnited States

Title_AuthorGilbert Strang