剧情简介：This is a textbook to help readers understand the steps that lead to deep learning. Linear algebra comes first especially singular values, least squares, and matrix factorizations. Often the goal is a low rank approximation A = CR (column-row) to a large matrix of data to see its most important part. This uses the full array of applied linear algebra, including randomization fo...(展开全部)
作者：Gilbert Strang
出版社：Wellesley-Cambridge Press
ISBN：9780692196380
