Data Simplification

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data

Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta, "Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data"
English | ISBN: 1783980249 | 2014 | EPUB/MOBI+Code files | 448 pages | 83 MB

Morphological Modeling of Terrains and Volume Data (Repost)  eBooks & eLearning

Posted by insetes at Dec. 27, 2017
Morphological Modeling of Terrains and Volume Data (Repost)

Morphological Modeling of Terrains and Volume Data By Lidija Comic, Leila De Floriani, Paola Magillo
2014 | 130 Pages | ISBN: 1493921487 | PDF | 3 MB

Spring Data: Modern Data Access for Enterprise Java (Repost)  eBooks & eLearning

Posted by step778 at Jan. 17, 2018
Spring Data: Modern Data Access for Enterprise Java (Repost)

Mark Pollack, Oliver Gierke, Thomas Risberg, "Spring Data: Modern Data Access for Enterprise Java"
2012 | pages: 314 | ISBN: 1449323952 | PDF | 11,0 mb

Composition: Pure Data as a Meta-Compositional Instrument  eBooks & eLearning

Posted by step778 at Jan. 17, 2018
Composition: Pure Data as a Meta-Compositional Instrument

Michael Barkl, "Composition: Pure Data as a Meta-Compositional Instrument"
2009 | pages: 149 | ISBN: 3838316479 | PDF | 1,2 mb

UltData (iPhone Data Recovery) 7.9.0.0  Software

Posted by tnt-reloaded at Jan. 17, 2018
UltData (iPhone Data Recovery) 7.9.0.0

UltData (iPhone Data Recovery) 7.9.0.0 Multilingual | macOS | 37 mb

An ultimate solution to repair iPhone iOS system issues and get back your iPhone lost data including messages, contacts, photos, videos, notes, and more no matter how the situation turns out.

Data Visualisation with R: 100 Examples [Repost]  eBooks & eLearning

Posted by hill0 at Jan. 17, 2018
Data Visualisation with R: 100 Examples [Repost]

Data Visualisation with R: 100 Examples by Thomas Rahlf
English | 20 Feb. 2017 | ISBN: 3319497502 | 404 Pages | PDF (True) | 99 MB

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots,

Prosoft Engineering Data Rescue Professional 5.0.3  Software

Posted by melt_ at Jan. 17, 2018
Prosoft Engineering Data Rescue Professional 5.0.3

Prosoft Engineering Data Rescue Professional 5.0.3 (x86/x64) | 21.2 Mb

Data Rescue Professional is a cross-compatible data recovery software designed for IT professionals and business use. Scan and recover from a multitude of devices including hard disk drives, solid state drives, SD cards, CF cards, USB drives, and more. Our professional data recovery software makes performing and managing data recovery at the enterprise level a simple task.

Multimedia Data Hiding (Repost)  eBooks & eLearning

Posted by step778 at Jan. 17, 2018
Multimedia Data Hiding (Repost)

Min Wu, Bede Liu, "Multimedia Data Hiding"
2003 | pages: 282 | ISBN: 1441929940 | PDF | 7,3 mb

Big Data and Visual Analytics  eBooks & eLearning

Posted by AvaxGenius at Jan. 17, 2018
Big Data and Visual Analytics

Big Data and Visual Analytics By Sang C. Suh
English | PDF,EPUB | 2017 | 262 Pages | ISBN : 3319639153 | 13.7 MB

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics.

Robust Data Mining  eBooks & eLearning

Posted by AvaxGenius at Jan. 17, 2018
Robust Data Mining

Robust Data Mining By Petros Xanthopoulos
English | PDF(Repost),EPUB | 2013 | 67 Pages | ISBN : 1441998772 | 6 MB

Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise.