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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis / by Maurits Kaptein, Edwin van den Heuvel
(Undergraduate Topics in Computer Science. ISSN:21971781)

データ種別 電子ブック
1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ XXIV, 321 p. 53 illus., 19 illus. in color : online resource
著者標目 *Kaptein, Maurits author
van den Heuvel, Edwin author
SpringerLink (Online service)

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射水-電子 007 EB0004337 Computer Scinece R0 2005-6,2022-3

9783030105310

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一般注記 1 A First Look at Data -- 2 Sampling Plans and Estimates -- 3 Probability Theory -- 4 Random Variables and Distributions -- 5 Estimation -- 6 Multiple Random Variables -- 7 Making Decisions in Uncertainty -- 8 Bayesian Statistics
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science
HTTP:URL=https://doi.org/10.1007/978-3-030-10531-0
件 名 LCSH:Computer science -- Mathematics  全ての件名で検索
LCSH:Mathematical statistics
LCSH:Statistics 
LCSH:Probabilities
FREE:Probability and Statistics in Computer Science
FREE:Statistical Theory and Methods
FREE:Probability Theory
分 類 LCC:QA76.9.M35
LCC:QA276-280
DC23:004.0151
書誌ID EB00003725
ISBN 9783030105310

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