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Linear Algebra and Learning from Data�First Edition

Linear Algebra and Learning from Data�First Edition

Linear Algebra and Learning from Data�First Edition
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Linear Algebra and Learning from Data�First Edition Hardback -

by Gilbert Strang

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USA Edition . New. Brand New! Fast Delivery and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 5-7 working day Only and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United Kingdom & United States. Depending on your location and availability.
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Details

  • Title Linear Algebra and Learning from Data�First Edition
  • Author Gilbert Strang
  • Binding Hardback
  • Edition USA Edition
  • Condition New
  • Pages 446
  • Volumes 1
  • Language ENG
  • Publisher Wellesley College
  • Bookseller's Inventory # US 9780692196380
  • ISBN 9780692196380 / 0692196382
  • Category Mathematics
  • Quantity available 5

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Reader reviews for Linear Algebra and Learning from Data�First Edition

From the publisher

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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