01665nam a2200277 a 4500 1/49379 200622s2013 gr b 00110 gre 9781449361327 52381 GR-PeUP 006.312 PRO Provost, Foster. Data science for business / Foster Provost and Tom Fawcett. Beijing : O'Reilly, c2013. xxi, 386 σ. : σχεδιαγρ., πίν. ; 24 εκ. Τίτλος από το εξώφυλλο: Data science for business :what you need to know about data mining and data-analytic thinking. Περιεχόμενα: Introduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion. Περιέχει βιβλιογραφία και ευρετήριο. Data mining. Information Science. Business Data processing. Data analysis. Decision making. Εξόρυξη δεδομένων. Fawcett, Tom. INST UNIPILB MAIN 20200622 006.312 PRO 00182895 00182895 LOAN 4 20230503 1