Data Science

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.

Data Science with Spark  eBooks & eLearning

Posted by naag at Jan. 19, 2017
Data Science with Spark

Data Science with Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 20M | 746 MB
Genre: eLearning | Language: English

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

Twelve Myths About Data Science (2017)  eBooks & eLearning

Posted by naag at Jan. 10, 2017
Twelve Myths About Data Science (2017)

Twelve Myths About Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 36M | 87 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.

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.

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.

Introduction To Data Science [repost]  eBooks & eLearning

Posted by ParRus at Nov. 10, 2016
Introduction To Data Science [repost]

Introduction To Data Science
WEBRip | English | MP4 | 1280 x 720 | AVC ~936 kbps | 30 fps
AAC | 61.9 Kbps | 44.1 KHz | 2 channels | 05:52:02 | 2.39 GB
Genre: eLearning Video / Business, Data Analysis

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern data scientists rely upon daily to recognize trends and suggest courses of action.

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