Linear Algebra and Learning from Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Gilbert Strang 作者

Wellesley-Cambridge Press

譯者

2019-1-31 出版日期

432 頁數

GBP 58.99 價格

Hardcover

叢書系列

9780692196380 圖書編碼

Linear Algebra and Learning from Data 在線電子書圖書標籤: 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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發表於2024-11-22

Linear Algebra and Learning from Data 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Linear Algebra and Learning from Data 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Linear Algebra and Learning from Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Linear Algebra and Learning from Data 在線電子書用戶評價

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）。

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）。

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☆☆☆☆☆

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☆☆☆☆☆

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。

Linear Algebra and Learning from Data 在線電子書著者簡介

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.

Linear Algebra and Learning from Data 在線電子書著者簡介

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

Linear Algebra and Learning from Data 在線電子書圖書描述

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.

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

想要找書就要到圖書目錄大全

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Linear Algebra and Learning from Data 在線電子書讀後感

評分☆☆☆☆☆

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning 链接: https://pan.baidu.com/s/1Pce-cpNuR3rcpmNkw42gog 提取码: wfa3 字幕是机器识别翻译的不精确。放在[GitHub]上了，各位朋友有兴趣的可以一起修正（fork or pull request）。 [Cour...

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