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£60.27

Cambridge University Press Linear Algebra and Learning from Data

Name: Linear Algebra and Learning from Data
Brand: Cambridge University Press
Price: 60.27 GBP
Availability: InStock

Worked examples or Exercises

Computing & Internet

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Description

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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Product Specifications

Brand: Cambridge University Press
Model: Worked examples or Exercises
Format: Hardcover
ASIN: 0692196382
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 31 January 2019
Listed Since: 15 January 2019

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Cambridge University Press Linear Algebra and Learning from Data

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