計算機時代的統計推斷：算法、演化和數據科學 pdf epub mobi txt 電子書下載 2024

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布拉德利·埃夫隆

機械工業齣版社

杭漢源

2019-6-4

286

119.00元

平裝

數據科學與工程技術叢書

9787111627524

圖書標籤: 數據分析統計機器學習數據挖掘統計學 R akb CS

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发表于2024-12-27

計算機時代的統計推斷：算法、演化和數據科學 epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

計算機時代的統計推斷：算法、演化和數據科學 pdf epub mobi txt 電子書下載 2024

圖書描述

本書以豐富的案例介紹瞭計算機時代下的統計推斷的發展脈絡，從理論的角度剖析統計推斷的各類算法、證據等，揭示統計推斷如何推動當今大數據、數據科學、機器學習等領域的快速發展並引領數據分析的變革，最後展望瞭統計學和數據科學的未來方嚮。

計算機時代的統計推斷：算法、演化和數據科學下載 mobi epub pdf txt 電子書

著者簡介

Bradley Efron, Stanford University, California

Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He has held visiting faculty appointments at Harvard University, Massachusetts, the University of California, Berkeley, and Imperial College of Science, Technology and Medicine, London. Efron has worked extensively on theories of statistical inference, and is the inventor of the bootstrap sampling technique. He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014.

Trevor Hastie, Stanford University, California

Trevor Hastie is John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He is coauthor of Elements of Statistical Learning, a key text in the field of modern data analysis. He is also known for his work on generalized additive models and principal curves, and for his contributions to the R computing environment. Hastie was awarded the Emmanuel and Carol Parzen prize for Statistical Innovation in 2014.