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.
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.
發表於2024-12-23
Linear Algebra and Learning from Data 2024 pdf epub mobi 電子書 下載
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...
評分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...
評分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...
評分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...
評分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...
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
內容全麵但由於篇幅所限 多數要點不能很好展開 需要進行大量輔助閱讀(尤其對於LinearAlgebra基礎不好的讀者)。低於預期(也對不起80刀的定價)。
評分瀏覽一遍。點太多,教授自己也說很多地方隻是寫個大概,推薦一些資料。怎麼看都感覺應該是一個blog,而不是一本書。當成導引又覺得差點意思。
評分瀏覽一遍。點太多,教授自己也說很多地方隻是寫個大概,推薦一些資料。怎麼看都感覺應該是一個blog,而不是一本書。當成導引又覺得差點意思。
評分上學期的課本,用的時候還是草稿。內容很良心,信號處理和機器學習常用的綫代基礎都有瞭。
評分內容全麵但由於篇幅所限 多數要點不能很好展開 需要進行大量輔助閱讀(尤其對於LinearAlgebra基礎不好的讀者)。低於預期(也對不起80刀的定價)。
Linear Algebra and Learning from Data 2024 pdf epub mobi 電子書 下載