Data Science Foundations: Data Mining

Lynda - Data Science Foundations: Data Mining  eBooks & eLearning

Posted by U.N.Owen at Sept. 6, 2016
Lynda - Data Science Foundations: Data Mining

Lynda - Data Science Foundations: Data Mining
Size: 634 MB | Duration: 4h 41m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

All data science begins with good data.

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.
A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning

Antonio Gulli, "A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning"
English | ISBN: 1517216710 | 2015 | 84 pages | EPUB | 1 MB

Coursera - Process Mining: Data Science in Action [repost]  eBooks & eLearning

Posted by ParRus at Feb. 18, 2016
Coursera - Process Mining: Data Science in Action [repost]

Coursera - Process Mining: Data Science in Action
WEBRip | English | MP4 | 960 x 540 | AVC ~151 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 13:23:25 | 1.68 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining.
Big Data at Work: The Data Science Revolution and Organizational Psychology (SIOP Organizational Frontiers Series)

Big Data at Work: The Data Science Revolution and Organizational Psychology (SIOP Organizational Frontiers Series) by Scott Tonidandel
English | 2 Dec. 2015 | ISBN: 1848725825, 1848725817 | 382 Pages | PDF/AZW3 (conv) | 11.04 MB

The amount of data in our world has been exploding, and analyzing large data sets―so called big data―will become a key basis of competition in business.

Data Mining in Biomedicine  

Posted by ChrisRedfield at Nov. 21, 2015
Data Mining in Biomedicine

Panos M. Pardalos, Vladimir L. Boginski, Vazacopoulos Alkis - Data Mining in Biomedicine
Published: 2007-03-15 | ISBN: 0387693181, 1441943439 | PDF | 580 pages | 35.78 MB

Python Data Science Essentials  

Posted by AlenMiler at Aug. 10, 2015
Python Data Science Essentials

Python Data Science Essentials by Alberto Boschetti
English | 30 Apr. 2015 | ISBN: 1785280422 | 258 Pages | EPUB/MOBI/PDF (True) | 11.29 MB

Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience. The book starts by introducing you to setting up your essential data science toolbox.

Computational Intelligence in Data Mining - Volume 2  

Posted by ChrisRedfield at July 31, 2015
Computational Intelligence in Data Mining - Volume 2

Lakhmi C. Jain, Behera H.S., Jyotsna Kumar Mandal, Durga Prasad Mohapatra - Computational Intelligence in Data Mining - Volume 2
Published: 2014-12-11 | ISBN: 8132222075 | PDF | 707 pages | 22.75 MB

Computational Intelligence in Data Mining - Volume 3  

Posted by ChrisRedfield at July 31, 2015
Computational Intelligence in Data Mining - Volume 3

Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra - Computational Intelligence in Data Mining - Volume 3
Published: 2014-12-11 | ISBN: 8132222016 | PDF | 717 pages | 24.13 MB

Computational Intelligence in Data Mining - Volume 1  

Posted by ChrisRedfield at July 26, 2015
Computational Intelligence in Data Mining - Volume 1

Lakhmi C. Jain, Behera H.S., Jyotsna Kumar Mandal, Durga Prasad Mohapatra - Computational Intelligence in Data Mining - Volume 1
Published: 2014-12-11 | ISBN: 8132222040 | PDF | 713 pages | 27.73 MB