000 01241nam a2200241Ia 4500
005 20250208113850.0
008 240825s9999 xx 000 0 und d
020 _a9788194435006
_qpbk
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