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 |
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版 | 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) |
書誌詳細を非表示
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 |
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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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