Amazon cover image

Image from Amazon.com

Image from Google Jackets

Normal view MARC view ISBD view

The Elements of Statistical Learning: Data Mining, Inference and prediction

By:

Trevor, Hastic; Robert, Tibshirani; Jerome, Friedman

Material type: Text

Text

TextPublication details: U S A Springer 2016Edition: 2Description: 745pISBN:

9780387848570

Subject(s):

Datamining

DDC classification:

005.7 HAS-E2

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 3 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	KMEA Library Computer Science		006.3122 HAS-E2 (Browse shelf(Opens below))	Available	Year- 2017		27182
Books	KMEA Library	Reference	005.7 HAS-E2 (Browse shelf(Opens below))	Not For Loan			24935
Books	KMEA Library		005.7 HAS-E2 (Browse shelf(Opens below))	Available			24936

Browsing KMEA Library shelves, Shelving location: Computer Science Close shelf browser (Hides shelf browser)

Previous						No cover image available No cover image available	No cover image available No cover image available	Next
Previous	005.4476 CHO-D Distributed operating systems and algorithms	005.4476 CHO-D Distributed operating systems and algorithms	006.31 MUR-M Machine learning : a probabilistic perspective	006.3122 HAS-E2 The Elements of Statistical Learning: Data Mining, Inference and prediction	006.4 BIS-N Neural networks for pattern recognition	621.3815 ADB-A Applied circuit theory: Matrix and computer methods	621.3815 ADB-A Applied circuit theory: Matrix and computer methods	Next

There are no comments on this title.

to post a comment.

Copyright © 2022 KMEA Engineering College, All Rights Reserved.