TY - BOOK
AU - Strang, Gilbert
TI - Linear algebra and learning from data
SN - 9780692196380
U1 - 512.5
PY - 2019///
CY - USA
PB - Wellesley-Cambridge Press
KW - Deep learning
KW - Linear algebra
KW - Neural nets
KW - Low rank and compressed sensing
KW - Special matrices
N1 - Includes bibliographical references and index
N2 - 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
ER -