Introduction to Data Mining

Introduction to Data Mining Using SAS Enterprise Miner  

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)  

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)

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)

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.

Introduction to Data Analytics with KNIME  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Introduction to Data Analytics with KNIME

Introduction to Data Analytics with KNIME
HDRips | MP4/AVC, ~562 kb/s | 1280x720 | Duration: 03:01:32 | English: AAC, 128 kb/s (2 ch) | 892 MB
Genre: Data Analytics

This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms.

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 18, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Artificial Intelligence | December 5, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background

Introduction to DATA ANALYTICS with MATLAB  eBooks & eLearning

Posted by AlenMiler at Nov. 14, 2016
Introduction to DATA ANALYTICS with MATLAB

Introduction to DATA ANALYTICS with MATLAB by Mendel H.
English | 10 Oct. 2016 | ISBN: 1539439321 | 145 Pages | MOBI/EPUB/PDF | 8.38 MB

This book initiates the reader into the techniques of data analysis with MATLAB.

Introduction To Data Science [repost]  eBooks & eLearning

Posted by ParRus at Nov. 10, 2016
Introduction To Data Science [repost]

Introduction To Data Science
WEBRip | English | MP4 | 1280 x 720 | AVC ~936 kbps | 30 fps
AAC | 61.9 Kbps | 44.1 KHz | 2 channels | 05:52:02 | 2.39 GB
Genre: eLearning Video / Business, Data Analysis

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern data scientists rely upon daily to recognize trends and suggest courses of action.