Strang Gilbert (Massachusetts Institute Of Technology)
Linear Algebra And Learning From Data
Linear Algebra And Learning From Data
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Binding: Hardcover
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.
Title: Linear Algebra And Learning From Data
Author(s): Strang Gilbert (Massachusetts Institute Of Technology)
Publisher: Wellesley - Cambridge Press U. S.
Barcode: 9780692196380
Pages: 446 Pages, Worked Examples Or Exercises
Publication Date: 2/28/2019
Category: Mathematical Modelling
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.
Title: Linear Algebra And Learning From Data
Author(s): Strang Gilbert (Massachusetts Institute Of Technology)
Publisher: Wellesley - Cambridge Press U. S.
Barcode: 9780692196380
Pages: 446 Pages, Worked Examples Or Exercises
Publication Date: 2/28/2019
Category: Mathematical Modelling
