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Linear Algebra and Learning from Data
Linear Algebra and Learning from Data
Author: Gilbert Strang
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 al...  more »
ISBN-13: 9780692196380
ISBN-10: 0692196382
Publication Date: 1/2/2019
Pages: 432
Edition: First
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Publisher: Wellesley-Cambridge Press
Book Type: Hardcover
Members Wishing: 0
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