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


Linear Algebra and Learning from Data

簡體網頁||繁體網頁
Gilbert Strang
Wellesley-Cambridge Press
2019-1-31
432
GBP 58.99
Hardcover
9780692196380

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   


喜歡 Linear Algebra and Learning from Data 的讀者還喜歡




點擊這裡下載
    


想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

发表于2024-09-28

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

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

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



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 下載 mobi epub pdf txt 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.


圖書目錄


Linear Algebra and Learning from Data pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

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。

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。

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...

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...

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...

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...

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...

類似圖書 點擊查看全場最低價

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


分享鏈接





相關圖書




本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度google,bing,sogou

友情鏈接

© 2024 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有