000 | 03314nam a22005895i 4500 | ||
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001 | 978-3-030-10531-0 | ||
003 | DE-He213 | ||
005 | 20240423130109.0 | ||
007 | cr nn 008mamaa | ||
008 | 220202s2022 sz | s |||| 0|eng d | ||
020 |
_a9783030105310 _9978-3-030-10531-0 |
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024 | 7 |
_a10.1007/978-3-030-10531-0 _2doi |
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050 | 4 | _aQA276-280 | |
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_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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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 |
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