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020 _a9783030105310
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024 7 _a10.1007/978-3-030-10531-0
_2doi
050 4 _aQA76.9.M35
050 4 _aQA276-280
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082 0 4 _a004.0151
_223
100 1 _aKaptein, Maurits.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStatistics for Data Scientists
_h[electronic resource] :
_bAn Introduction to Probability, Statistics, and Data Analysis /
_cby Maurits Kaptein, Edwin van den Heuvel.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXIV, 321 p. 53 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 0 _aStatistics .
650 0 _aProbabilities.
650 1 4 _aProbability and Statistics in Computer Science.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aProbability Theory.
700 1 _avan den Heuvel, Edwin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030105303
776 0 8 _iPrinted edition:
_z9783030105327
830 0 _aUndergraduate Topics in Computer Science,
_x2197-1781
856 4 0 _uhttps://doi.org/10.1007/978-3-030-10531-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c185002
_d185002