Linear Algebra and Learning from Data 豆 0.0分

资源最后更新于 2020-09-27 15:05:51

作者：Gilbert Strang

出版社：Wellesley-Cambridge Press

出版日期：2019-01

ISBN：9780692196380

文件格式： pdf

标签： 线性代数 机器学习 数学 数据科学 Gilbert Strang 计算机 统计

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...