r For Data Science

Getting Started with R for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 24, 2016
Getting Started with R for Data Science

Getting Started with R for Data Science
HDRips | MP4/AVC, ~107 kb/s | 1280x720 | Duration: 01:39:07 | English: AAC, 128 kb/s (2 ch) | 224 MB
Genre: Development / Programming

Unleash the powerful capabilities of R to work effectively with data.

R for Data Science Solutions  eBooks & eLearning

Posted by FenixN at Nov. 9, 2016
R for Data Science Solutions

R for Data Science Solutions
HDRips | MP4/AVC, ~421 kb/s | 1280x720 | Duration: 05:32:47 | English: AAC, 128 kb/s (2 ch) | 1.67 GB
Genre: Development / Programming / Software

Over 100 hands-on tasks to help you effectively solve real-world data problems using the most popular R packages and techniques

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.

R for Data Science - R Data Science Tips, Solutions and Strategies [Repost]  eBooks & eLearning

Posted by tanas.olesya at May 28, 2016
R for Data Science - R Data Science Tips, Solutions and Strategies [Repost]

R for Data Science - R Data Science Tips, Solutions and Strategies by Dan Toomey
English | Dec. 19, 2014 | ISBN: 1784390860 | 364 Pages | PDF | 32 MB

R for Data Science  eBooks & eLearning

Posted by ksveta6 at Feb. 20, 2015
R for Data Science

R for Data Science by Dan Toomey
2014 | ISBN: 1784390860 | English | 364 pages | PDF + EPUB | 3 MB + 12 MB

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.

Julia for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 10, 2017
Julia for Data Science

Julia for Data Science
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB
Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia

Data Science with R  eBooks & eLearning

Posted by FenixN at Nov. 20, 2016
Data Science with R

Data Science with R
HDRips | MP4/AVC, ~499 kb/s | 1280x720 | Duration: 15:14:52 | English: AAC, 128 kb/s (2 ch) | 3.53 GB
Genre: Development / Programming

Learn R and get comfortable with data science.

Algorithms for Data Science  eBooks & eLearning

Posted by hill0 at Jan. 21, 2017
Algorithms for Data Science

Algorithms for Data Science by Brian Steele
English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | PDF | 8.35 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification.