logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

The Elements Of Statistical Learning Data Mining Inference And Prediction 2nd Edition Trevor Hastie

  • SKU: BELL-50970994
The Elements Of Statistical Learning Data Mining Inference And Prediction 2nd Edition Trevor Hastie
$ 31.00 $ 45.00 (-31%)

4.7

106 reviews

The Elements Of Statistical Learning Data Mining Inference And Prediction 2nd Edition Trevor Hastie instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 12.78 MB
Author: Trevor Hastie, Robert Tibshirani, Jerome Friedman
ISBN: 9780387848846, 0387848843
Language: English
Year: 2017
Edition: 2

Product desciption

The Elements Of Statistical Learning Data Mining Inference And Prediction 2nd Edition Trevor Hastie by Trevor Hastie, Robert Tibshirani, Jerome Friedman 9780387848846, 0387848843 instant download after payment.

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics.

Related Products