Hastie, Trevor- <br/><br/>
The elements of statistical learning  data mining, inference, and prediction /  [electronic resource] : 
by Jerome Friedman, Robert Tibshirani, Trevor Hastie. 
 - 2nd ed. 
 - New York, NY :  Springer-Verlag New York,  2009. 
 - xxii, 745 p. :  ill., digital ;  24 cm. 
 - Springer series in statistics,  0172-7397 .
<br/><br/><label>ISBN: </label>9780387848587 (electronic bk.) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Supervised learning (Machine learning)<br/>Statistical Theory and Methods.<br/>Statistics.<br/>Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences.<br/>Computer Appl. in Life Sciences.<br/>Artificial Intelligence (incl. Robotics)<br/>Computational Biology/Bioinformatics.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>Q325.75  / .H37 2009 
<br/><br/><label>Dewey Class. No.: </label>006.31