Linear Algebra and Learning from Data by Gilbert Strang - PDF free download eBook

4.4 from 219 reviews

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of...

Looking for linear algebra learning from data pdf to download for free? Use our file search system, download the e-book for computer, smartphone or online reading.

Search & Download

Details of Linear Algebra and Learning from Data

Exact title of the book
Linear Algebra and Learning from Data
Book author
Gilbert Strang
Book edition
Hardcover
Number of pages
446 pages
Published
February 28th 2019 by Wellesley College
File size (in PDF)
1784 kB
Linear Algebra and Learning from Data

Some brief overview of book

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 marices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.