Linear Algebra and Learning from Data pdf epub mobi txt 電子書下載2025

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Gilbert Strang is a Professor of Mathematics at Massachusetts Institute of Technology and an Honorary Fellow of Balliol College, Oxford University. He is also a prolific author of a dozen highly regarded textbooks and monographs. Gilbert Strang served as president of the Society for Industrial and Applied Mathematics (SIAM) from 1999-2000 and chaired the U.S. National Committee on Mathematics from 2003-2004. He won the Henrici and Su Buchin prizes at ICIAM 2007 and the Von Neumann Medal of the U.S. Association of Computational Mechanics. He is a SIAM Fellow and a member of the National Academy of Sciences.

出版者:Wellesley-Cambridge Press

作者:Gilbert Strang

出品人:

頁數:432

译者:

出版時間:2019-1-31

價格:GBP 58.99

裝幀:Hardcover

isbn號碼:9780692196380

叢書系列:

圖書標籤:

綫性代數
數學
機器學習
數據科學
Gilbert
Strang
計算機
統計

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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 for very large matrices. Then deep learning creates a large-scale optimization problem for the weights solved by gradient descent or better stochastic gradient descent. Finally, the book develops the architectures of fully connected neural nets and of Convolutional Neural Nets (CNNs) to find patterns in data. Audience: This book is for anyone who wants to learn how data is reduced and interpreted by and understand matrix methods. Based on the second linear algebra course taught by Professor Strang, whose lectures on the training data are widely known, it starts from scratch (the four fundamental subspaces) and is fully accessible without the first text.

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MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning 鏈接: https://pan.baidu.com/s/1Pce-cpNuR3rcpmNkw42gog 提取碼: wfa3 字幕是機器識彆翻譯的不精確。放在[GitHub]上瞭，各位朋友有興趣的可以一起修正（fork or pull request）。 [Cour...

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