Introduction Introduction to Data Mining

Introduction to Data Mining Using SAS Enterprise Miner  eBooks & eLearning

Posted by phidhahoogaya at Aug. 1, 2011
Introduction to Data Mining Using SAS Enterprise Miner

Introduction to Data Mining Using SAS Enterprise Miner
SAS Publishing | February 16, 2007 | ISBN-10: 1590478290 | 468 pages | PDF | 14.8 MB

If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides

Discovering Knowledge in Data: An Introduction to Data Mining  eBooks & eLearning

Posted by Bayron at July 29, 2014
Discovering Knowledge in Data: An Introduction to Data Mining

Discovering Knowledge in Data: An Introduction to Data Mining by Daniel T. Larose, Chantel D. Larose
English | 2014 | ISBN: 0470908742 | 336 pages | PDF, EPUB | 6 MB, 10 MB

Introduction to Data Mining for the Life Sciences (repost)  eBooks & eLearning

Posted by Veslefrikk at Feb. 8, 2014
Introduction to Data Mining for the Life Sciences (repost)

Rob Sullivan, "Introduction to Data Mining for the Life Sciences"
Publisher: H.m.na Pr.ss | ISBN: 1588299422 | 2011 | PDF | 648 pages | 16 MB

Discovering Knowledge in Data: An Introduction to Data Mining (repost)  eBooks & eLearning

Posted by Veslefrikk at Nov. 19, 2013
Discovering Knowledge in Data: An Introduction to Data Mining (repost)

Discovering Knowledge in Data: An Introduction to Data Mining
Wiley-Interscience | 2004-11-18 | ISBN: 0471666572 | 240 pages | PDF | 3,9 MB

Discovering Knowledge in Data: An Introduction to Data Mining (Reupload)  eBooks & eLearning

Posted by tot167 at Nov. 18, 2008
Discovering Knowledge in Data: An Introduction to Data Mining (Reupload)

Daniel T. Larose " Discovering Knowledge in Data: An Introduction to Data Mining"
Wiley-Interscience | 2004-11-18 | ISBN: 0471666572 | 240 pages | PDF | 3,9 MB

Introduction to Data Mining and its Applications  eBooks & eLearning

Posted by ertugrul ergun at April 15, 2007
Introduction to Data Mining and its Applications

Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
Springer | ISBN / ASIN:3540343504 | Year:2006 | 828 pages | PDF | 5.3MB

This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications.

Doing Data Science [Repost]  eBooks & eLearning

Posted by tanas.olesya at Jan. 11, 2017
Doing Data Science [Repost]

Doing Data Science: Straight Talk from the Frontline by Cathy O'Neil
English | 3 Nov. 2013 | ISBN: 1449358659 | 408 Pages | PDF | 27 MB

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground.

Data Privacy: Principles and Practice  eBooks & eLearning

Posted by ksveta6 at Dec. 29, 2016
Data Privacy: Principles and Practice

Data Privacy: Principles and Practice by Nataraj Venkataramanan, Ashwin Shriram
2016 | ISBN: 1498721044 | English | 232 pages | PDF | 5 MB

Introduction to Data Analysis with R for Forensic Scientists (Repost)  eBooks & eLearning

Posted by roxul at Dec. 15, 2016
Introduction to Data Analysis with R for Forensic Scientists (Repost)

James Michael Curran, "Introduction to Data Analysis with R for Forensic Scientists"
English | ISBN: 1420088262 | 2010 | 331 pages | PDF | 13 MB

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 GB | Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.