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

Searching For Patterns How We Can Know Without Asking 1st Edition Thomas Chesney

  • SKU: BELL-51704242
Searching For Patterns How We Can Know Without Asking 1st Edition Thomas Chesney
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Searching For Patterns How We Can Know Without Asking 1st Edition Thomas Chesney instant download after payment.

Publisher: Nottingham University Press
File Extension: EPUB
File size: 2.72 MB
Pages: 161
Author: Thomas Chesney
ISBN: 9781907284090, 1907284095
Language: English
Year: 2010
Edition: 1

Product desciption

Searching For Patterns How We Can Know Without Asking 1st Edition Thomas Chesney by Thomas Chesney 9781907284090, 1907284095 instant download after payment.

Examining the science behind everyday predictions--such as why the supermarket sends particular coupons to the appropriate people and how a bank can foretell if someone will default on a loan within a few minutes--this guide explains the basics of what data mining is, details a variety of data mining and techniques, and profiles the key figures behind the data-mining process. After first demonstrating fundamental approaches such as nearest neighbor and association rules, the resource goes on to analyze probabilistic techniques that use Bayes' theorem and artificial intelligence algorithms using neural networks. With chapters on a wide range of topics--from calculating similarity to dealing with uncertainty and modeling the brain--this comprehensive volume reveals how anyone with enough information can get an intimate view of someone's life and what to do about it.

Related Products