Title Dēta saiensu no tame no tōkeigaku nyūmon : yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / Peter Bruce, Andrew Bruce, Peter Gedeck cho ; Kurokawa Toshiaki ; Ōhashi Shin'ya gijutsu kanshū = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck データサイエンスのための統計学入門 : 予測, 分類, 統計モデリング, 統計的機械学習とR/Pythonプログラミング / Peter Bruce, Andrew Bruce, Peter Gedeck著 ; 黒川利明訳 ; 大橋真也技術監修 = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck

Edition Dai 2-han 第 2版 Published Tōkyō-to Shinjuku-ku : Orairī Japan, 2020 東京都新宿区 : オライリー・ジャパン, 2020

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Description 1 online resource (396 pages) Summary "Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning." -- Provided by publisher Bibliography Includes bibliographical references (pages 345-349) and index Notes Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) Subject Mathematical analysis -- Statistical methods Quantitative research -- Statistical methods R (Computer program language) Python (Computer program language) Statistics -- Data processing. Quantitative research -- Statistical methods Mathematical analysis -- Statistical methods Python (Computer program language) R (Computer program language) Statistics -- Data processing Form Electronic book Author Bruce, Andrew, 1958- author. Gedeck, Peter, author. Kurokawa, Toshiaki, translator 黒川利明, translator Ōhashi, Shin'ya 大橋真也 ISBN 9784873119267 487311926X

Other Titles Practical statistics for data scientists. Japanese Practical statistics for data scientists : 50+ essential concepts using R and Python

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