000 | 01241nam a2200241Ia 4500 | ||
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005 | 20250208113850.0 | ||
008 | 240825s9999 xx 000 0 und d | ||
020 |
_a9788194435006 _qpbk |
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041 | _aeng | ||
082 |
_a005.133 P _bBRU |
||
100 | _aBruce, Peter | ||
245 | 0 |
_aPractical statistics for data scientists _cPeter Bruce, Andrew Bruce and Peter Gedeck _b50 + essntial concepts using R and Python |
|
250 | _a2nd ed. | ||
260 |
_cc2020 _aNew Delhi _bShroff Publishers & Distributors Pvt. Ltd. |
||
300 |
_axvi, 342 p. _bill. _c23 cm. |
||
500 | _aReprint, 2023 | ||
504 | _aindex | ||
520 | _aStatistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. | ||
650 | _aComputer Science; Programming Language; Clusters; Regression and Prediction | ||
700 | _aBruce, Andrew | ||
700 | _aGedeck, Peter | ||
942 | _cENGLISH | ||
999 |
_c540539 _d540539 |