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020 _a9783030105310
024 7 _a10.1007/978-3-030-10531-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA300
_b2022 EB
100 _aKaptein, Maurits
_4http://id.loc.gov/vocabulary/relators/aut
_998017
245 1 0 _aStatistics for Data Scientists :
_bAn Introduction to Probability, Statistics, and Data Analysis
_cby Maurits Kaptein, Edwin van den Heuvel
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publising
_c2022
300 _a1 recurso en línea (XXIV, 321 páginas)
_b52 ilustraciones, 19 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aUndergraduate Topics in Computer Science
_x2197-1781
505 0 _a1 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.
520 _aThis 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.
988 _aSpringer_Computer_2022
650 7 _2embne
_9138443
_aAnálisis matemático
_xMétodos estadísticos
700 1 _avan den Heuvel, Edwin
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030105303
776 0 8 _iPrinted edition:
_z9783030105327
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-10531-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2022
_dz
_eh
_zSI