Linear Algebra and Learning from Data
Book Details
Format
Hardback
ISBN-10
0692196382
ISBN-13
9780692196380
Publisher
Wellesley-Cambridge Press,U.S.
Imprint
Wellesley-Cambridge Press,U.S.
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jan 31st, 2019
Print length
446 Pages
Weight
924 grams
Dimensions
23.90 x 20.40 x 1.90 cms
Product Classification:
Mathematical modelling
KSh 12,150.00
Publisher Out of Stock
0 in stock
Delivery Location
Delivery fee: Select location
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Quality
Fast
From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.
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.
Get Linear Algebra and Learning from Data by Gilbert Strang at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Wellesley-Cambridge Press,U.S. and it has 446 pages.
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