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[null,"1.","Record Nr.",null,"UNINA9910522554503321"]
[null,null,"Autore",null,"Kaptein Maurits"]
[null,null,"Titolo",null,"Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis / / by Maurits Kaptein, Edwin van den Heuvel"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-030-10531-8"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (341 pages)"]
[null,null,"Collana",null,"Undergraduate Topics in Computer Science, , 2197-1781"]
[null,null,"Disciplina",null,"519.50285"]
[null,null,"Soggetti",null,"Computer science - Mathematics"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Probabilities"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Probability Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"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."]