High-Dimensional Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

☆☆☆☆☆
簡體網頁||繁體網頁

Roman Vershynin 作者

Cambridge University Press

譯者

2018-9-27 出版日期

296 頁數

USD 69.99 價格

Hardcover

Cambridge Series in Statistical and Probabilistic Mathematics 叢書系列

9781108415194 圖書編碼

High-Dimensional Probability 在線電子書圖書標籤: 數學 Statistics 統計學概率論 Machine_Learning DataScience 統計 statistics

喜歡 High-Dimensional Probability 在線電子書的讀者還喜歡

下載鏈接在頁面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-06-26

High-Dimensional Probability 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

High-Dimensional Probability 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

High-Dimensional Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

High-Dimensional Probability 在線電子書用戶評價

評分☆☆☆☆☆

寫得很棒！

評分☆☆☆☆☆

19年剛齣的書，對工科背景的學生學習理論工具和數學係學生瞭解應用背景都有參考價值。想要更嚴謹地瞭解這些理論可以去讀Handel的notes，還沒齣版但是掛在Princeton他的個人主頁上。

評分☆☆☆☆☆

寫得很棒！

High-Dimensional Probability 在線電子書著者簡介

Roman Vershynin is Professor of Mathematics at the University of California, Irvine. He studies random geometric structures across mathematics and data sciences, in particular in random matrix theory, geometric functional analysis, convex and discrete geometry, geometric combinatorics, high-dimensional statistics, information theory, machine learning, signal processing, and numerical analysis. His honors include an Alfred Sloan Research Fellowship in 2005, an invited talk at the International Congress of Mathematicians in Hyderabad in 2010, and a Bessel Research Award from the Humboldt Foundation in 2013. His 'Introduction to the Non-Asymptotic Analysis of Random Matrices' has become a popular educational resource for many new researchers in probability and data science.

High-Dimensional Probability 在線電子書著者簡介

High-Dimensional Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

High-Dimensional Probability 在線電子書圖書描述

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.

High-Dimensional Probability 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

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

High-Dimensional Probability 在線電子書讀後感

評分☆☆☆☆☆

这个书居然作者不给errata也是很不user-friendly了. 根据已经出版的版本, 发现的数学错误或typo错误如下: p58, Exercise 3.5.3: 命题不总成立. 可补充条件"A对角线为0或A是PSD". Online version该处已修正. p83, Exercise 4.3.7(b): t log_2 (e/t) 疑应为 t log_2 (1/t). p96, ...

評分☆☆☆☆☆