000			00956cam a22001697i 4500
008			191230s2019 caua b 001 0 eng d
020			_a9781449361327
050			_aQA 76.9 .D343 _b.P76 2013
100			_aProvost, Foster.
245			_aData science for business? _cFoster provost and Fawcett Tom.
260			_aBeijing: _bO'reilly, _cc2013.
300			_axxi, 386p.: _bill. : _c24 cm.
500			_aincludes indexes.
505			_aIntroduction: Data analytic thinking -- Business problems and data science solutions -- Introduction to predictive modelling: From correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbours and clusters -- Decision analytic thinking I: What is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and miming text.
700			_aFawcett Tom.
942			_2lcc _cBK _hQA 76.9 .D343 _kQA 76.9 .D343 _mP76 2013 _03
999			_c4879 _d4879