Linear Algebra and Learning from Data is popular PDF and ePub book, written by Gilbert Strang in 2019-01-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Linear Algebra and Learning from Data can be Read Online from any device for your convenience.
Linear Algebra and Learning from Data Book 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.
Detail Book of Linear Algebra and Learning from Data PDF
- Author : Gilbert Strang
- Release : 31 January 2019
- Publisher : Wellesley-Cambridge Press
- ISBN : 0692196382
- Genre : Computers
- Total Page : 0 pages
- Language : English
- PDF File Size : 11,8 Mb
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