Hastie, Trevor <br/><br/>
The elements of statistical learning :  data mining, inference, and prediction / 
Trevor Hastie, Robert Tibshirani, Jerome Friedman. 
 - 2. ed 
 - 745 s.  ill. 
 - Springer series in statistics .
<br/><br/> Corrected at 12th printing 2017  Endast tillgängligt på SCB:s lokaler i Stockholm 
<br/><br/><label>ISBN: </label>9780387848570 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Matematisk statistik<br/>Data mining<br/>Prediktion<br/>Artificiell intelligens<br/>Bioinformatik<br/>Prognoser<br/>Neuronnät (datorer)<br/>Statistisk inferens<br/>Statistisk metod<br/>Databehandling<br/>Supervised learning (Machine learning)<br/>Electronic data processing.<br/>Inference.<br/>Computational intelligence.<br/>Statistics--Methodology.<br/>Text and data mining<br/>Data bases<br/>Statistical methods<br/>Statistics<br/>Nonparametric inference<br/>Artificial intelligence<br/>Bioinformatics<br/>Data processing<br/>Neural networks (Computer science)<br/>Data mining<br/>Prediction theory<br/>Statistics<br/>Mathematical statistics<br/>Mathematical statistics<br/>Probabilities<br/>Forecasting
<br/><br/><label>Subjects--Index Terms: </label>Graphical models grafiska modeller Generalized additive models Vectore machine Multivariate models Bootstrap procedures High-dimensional problems Mathematical statistics Artificial intelligence Matematisk statistik Artificiell intelligens Mathematical statistics Artificial intelligence Data mining Prediction theory 
<br/><br/><label>LC Class. No.: </label>Q325.75  / .H37 2009 
<br/><br/><label>Dewey Class. No.: </label>519.5