Linear Algebra And Learning From Data PDF
It is an amazing Computers book written by Gilbert Strang and published by Wellesley-Cambridge Press. This book was released on 31 January 2019 with total pages 446. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Linear Algebra and Learning from Data book now. This site is like a library, Use search box to get ebook that you want.
- Author : Gilbert Strang
- Release Date : 31 January 2019
- Publisher : Wellesley-Cambridge Press
- Genre : Computers
- Pages : 446
- ISBN 13 : 0692196382
- Total Download : 276
- File Size : 43,5 Mb
Linear Algebra and Learning from Data PDF Summary
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.