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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis / / by Maurits Kaptein, Edwin van den Heuvel



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Autore: Kaptein Maurits Visualizza persona
Titolo: Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis / / by Maurits Kaptein, Edwin van den Heuvel Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (341 pages)
Disciplina: 519.50285
Soggetto topico: Computer science - Mathematics
Mathematical statistics
Statistics
Probabilities
Probability and Statistics in Computer Science
Statistical Theory and Methods
Probability Theory
Persona (resp. second.): HeuvelEdwin van den
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Statistics for Data Scientists  Visualizza cluster
ISBN: 3-030-10531-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910522554503321
Lo trovi qui: Univ. Federico II
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Serie: Undergraduate Topics in Computer Science, . 2197-1781