01021nam0 22002651i 450 UON0011341020231205102646.21620020107d1968 |0itac50 baengIN|||| 1||||KanorakDebala MitraNew DelhiThe Director General Archaeological Survey of India1968113 p., c. di tav.21 cmARCHITETTURAINDIAORISSATEMPLIUONC007843FIINNew DelhiUONL000110SI XISUBCONT. INDIANO - ARCHITETTURA E URBANISTICAAMITRADebalaUONV003214637582Archaeological Survey of IndiaUONV247216650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00113410SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SI XI 042 SI ARC2207 7 042 Kanorak1308931UNIOR03267nam 22006255 450 991052255450332120250408063824.03-030-10531-810.1007/978-3-030-10531-0(MiAaPQ)EBC6881911(Au-PeEL)EBL6881911(CKB)21069160300041(DE-He213)978-3-030-10531-0(PPN)260826200(EXLCZ)992106916030004120220202d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStatistics for Data Scientists An Introduction to Probability, Statistics, and Data Analysis /by Maurits Kaptein, Edwin van den Heuvel1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (341 pages)Undergraduate Topics in Computer Science,2197-1781Print version: Kaptein, Maurits Statistics for Data Scientists Cham : Springer International Publishing AG,c2022 9783030105303 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.Undergraduate Topics in Computer Science,2197-1781Computer scienceMathematicsMathematical statisticsStatisticsProbabilitiesProbability and Statistics in Computer ScienceStatistical Theory and MethodsProbability TheoryComputer scienceMathematics.Mathematical statistics.Statistics.Probabilities.Probability and Statistics in Computer Science.Statistical Theory and Methods.Probability Theory.519.50285519.50285Kaptein Maurits1082043Heuvel Edwin van denMiAaPQMiAaPQMiAaPQBOOK9910522554503321Statistics for Data Scientists2596985UNINA