03167cam a22005057i 4500 22227145 OSt 20260113150700.0 210909t20202020caua e b 001 0 eng 2018420845 GBC061788 bnb 019800669 Uk 9781492072942 (paperback) 149207294X (paperback) (OCoLC)on1158315601 UTV eng UTV rda UTV AHH OCLCF YDXIT UKMGB IBI OCLCO YDX JAS OCL DLC lccopycat QA276.4 .B78 2020 001.4/22 23 Bruce, Peter C., 1953- author. Practical Statistics for Data Scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck. Second edition. Sebastopol, CA : O'Reilly Media, Inc., 2020. ©2020 xvi, 342 pages : illustrations ; 24 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references (pages 327-328) and index. Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning. 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.-- Source other than the Library of Congress. Mathematical analysis Statistical methods. Quantitative research Statistical methods. R (Computer program language) Python (Computer program language) Statistics Data processing. Python (Computer program language) fast (OCoLC)fst01084736 R (Computer program language) fast (OCoLC)fst01086207 Statistics Data processing. fast (OCoLC)fst01132113 Bruce, Andrew, 1958- author. Gedeck, Peter, author. 7 cbc copycat 2 ncip 20 y-gencatlg lcc BOOK 20941 20941