bokomslag Linear Algebra and Learning from Data
Vetenskap & teknik

Linear Algebra and Learning from Data

Gilbert Strang

Inbunden

769:- (979:-)

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-15 arbetsdagar

Fri frakt för medlemmar vid köp för minst 149:-

  • 446 sidor
  • 2019

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.

  • Författare: Gilbert Strang
  • Format: Inbunden
  • ISBN: 9780692196380
  • Språk: Engelska
  • Antal sidor: 446
  • Utgivningsdatum: 2019-01-31
  • Förlag: Cambridge University Press