Linear Algebra and Learning from Data Strang Gilbert Massachusetts Institute of TechnologyPevná vazba
Linear Algebra and Learning from Data Strang Gilbert Massachusetts Institute of TechnologyPevná vazba Linear algebra and the foundations of deep learning, together at last From Professor Gilbert…
Specifikacia Linear Algebra and Learning from Data Strang Gilbert Massachusetts Institute of TechnologyPevná vazba
Linear Algebra and Learning from Data Strang Gilbert Massachusetts Institute of TechnologyPevná vazba
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. 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 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.