• regression Models For Data Science in R

Report Writing for Data Science in R  eBooks & eLearning

Posted by Grev27 at Feb. 9, 2016
Report Writing for Data Science in R

Roger D. Peng, "Report Writing for Data Science in R"
English | ISBN: n/a | 2016 | PDF | 120 pages | 7,7 MB

Statistics and Data Science in R from Beginner to Advanced  eBooks & eLearning

Posted by naag at Oct. 17, 2015
Statistics and Data Science in R from Beginner to Advanced

Statistics and Data Science in R from Beginner to Advanced
MP4 | Video: 1280x720 | 63 kbps | 44 KHz | Duration: 11 Hours | 2.42 GB
Genre: eLearning | Language: English

Learn R, a powerful FREE open-source programming language for statisticians and data miners!
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

Deborah Nolan and Duncan Temple Lang, "Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving"
English | ISBN: 1482234815 | 2015 | 539 pages | PDF | 16 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.

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.

Java for Data Science  eBooks & eLearning

Posted by AlenMiler at Jan. 13, 2017
Java for Data Science

Java for Data Science by Richard Reese
English | 6 Feb. 2017 | ISBN: 1785280112 | 558 Pages | AZW3/MOBI/EPUB/PDF (conv) | 17.41 MB

DC.js for Data Science Essential Training (2017)  eBooks & eLearning

Posted by naag at Jan. 12, 2017
DC.js for Data Science Essential Training (2017)

DC.js for Data Science Essential Training
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 5 Hours | 1.10 GB
Genre: eLearning | Language: English

Crossfilter for Data Science Essential Training (2017)  eBooks & eLearning

Posted by naag at Jan. 10, 2017
Crossfilter for Data Science Essential Training (2017)

Crossfilter for Data Science Essential Training
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 279 MB
Genre: eLearning | Language: English

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

Machine Learning for Data Science  eBooks & eLearning

Posted by naag at Jan. 10, 2017
Machine Learning for Data Science

Machine Learning for Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 38 | 1.98 GB
Genre: eLearning | Language: English

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.