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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.About the Author:
Title: Statistics for Data Scientists: An ...
Publisher: Springer
Publication Date: 2022
Binding: Soft cover
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Taschenbuch. Condition: Neu. Statistics for Data Scientists | An Introduction to Probability, Statistics, and Data Analysis | Maurits Kaptein (u. a.) | Taschenbuch | xxiv | Englisch | 2022 | Springer | EAN 9783030105303 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 114990082
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