Shared by:oxx78
Written by Ian H. Witten
Edition: 2005
Format(s): PDF
Language: English
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.
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Creation Date: | Mon, 30 Apr 2012 13:45:41 +0400 |
This is a Multifile Torrent | |
Data Mining, Practical Machine Learning Tools and Techniques II Edition[Team Nanban][TPB].pdf 7.76 MBs | |
Release Notes.txt 862 Bytes | |
README.txt 321 Bytes | |
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Combined File Size: | 7.76 MBs |
Piece Size: | 16 KBs |
Comment: | Updated by theebooksbay.com |
Torrent Encoding: | UTF-8 |
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