3ds Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data  eBooks & eLearning

Posted by viserion at Dec. 30, 2016
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham, "R for Data Science: Import, Tidy, Transform, Visualize, and Model Data"
ISBN: 1491910399 | 2017 | True PDF | 522 pages | 32 MB

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data  eBooks & eLearning

Posted by AlenMiler at Dec. 15, 2016
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science by Hadley Wickham
English | 25 July 2016 | ISBN: 1491910399 | 250 Pages | AZW3/MOBI/EPUB/PDF (conv) | 78.97 MB

What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data.
Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language

Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language
English | November 2014 | mp4 | H264 1920x1080 | AAC 1 ch 125 kbps | 4 hrs 26 min | 3.17 GB
eLearning

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

Visualizing Graph Data (MEAP version 7)  eBooks & eLearning

Posted by Grev27 at July 4, 2016
Visualizing Graph Data (MEAP version 7)

Corey Lanum, "Visualizing Graph Data (MEAP version 7)"
English | ISBN: 1617293075 | 2016 | EPUB | 212 pages | 22,6 MB

Visualizing Graph Data (MEAP version 7)  eBooks & eLearning

Posted by Grev27 at July 1, 2016
Visualizing Graph Data (MEAP version 7)

Corey Lanum, "Visualizing Graph Data (MEAP version 7)"
English | ISBN: 1617293075 | 2016 | PDF | 212 pages | 21 MB
Computational Electromagnetics and Model-Based Inversion: A Modern Paradigm for Eddy-Current Nondestructive Evaluation [Repost]

Elias H. Sabbagh, John C. Aldrin, Jeremy S Knopp - Computational Electromagnetics and Model-Based Inversion: A Modern Paradigm for Eddy-Current Nondestructive Evaluation
Published: 2013-06-22 | ISBN: 1441984283, 1489988149 | PDF | 448 pages | 11.6 MB

Graph Databases: New Opportunities for Connected Data, 2nd Edition  eBooks & eLearning

Posted by ksveta6 at Sept. 5, 2015
Graph Databases: New Opportunities for Connected Data, 2nd Edition

Graph Databases: New Opportunities for Connected Data by Ian Robinson, Jim Webber, Emil Eifrem
2015 | ISBN: 1491930896 | English | 238 pages | True PDF | 9 MB

Graph Databases: New Opportunities for Connected Data  eBooks & eLearning

Posted by AlenMiler at June 18, 2015
Graph Databases: New Opportunities for Connected Data

Graph Databases: New Opportunities for Connected Data by Ian Robinson
English | 5 July 2015 | ISBN: 1491930896 | 238 Pages | EPUB/AZW3/PDF (conv) | 25.7 MB

Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains.

Data Science at the Command Line: Facing the Future with Time-Tested Tools  eBooks & eLearning

Posted by interes at Oct. 6, 2014
Data Science at the Command Line: Facing the Future with Time-Tested Tools

Data Science at the Command Line: Facing the Future with Time-Tested Tools by Jeroen Janssens
English | 2014 | ISBN: 1491947853 | 212 pages | PDF | 7,6 MB

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.