Microsoft R Server available free to students with DreamSpark

Revolution R renamed Microsoft R, available free to developers and students

Since Microsoft acquired Revolution Analytics, there have been a steady stream of updates to Revolution R Open and Revolution R Enterprise (not to mention integration of R with SQL Server, PowerBI, Azure and Cortana Analytics).

Revolution R Enterprise, the big-data capable R distribution for servers, Hadoop clusters, and data warehouses has been updated for its new release, Microsoft R Server 2016.

Microsoft R Server provides a number of inherently parallel, distributed algorithms for statistical analysis and machine learning. These include a high performance implementations of Generalized Linear Models, K-means clustering, the Naïve Bayes classifier, decision trees, random forests and much more.

http://blog.revolutionanalytics.com/2016/01/microsoft-r-open.html
http://blog.revolutionanalytics.com/2016/01/r-dreamspark.html

Big Data & Machine Learning Solutions Decision Tree

Big Data Solutions Decision Tree

 Process of solution selection for Big Data projects is very complex with a lot of factors. Here is the decision tree, which maps the three types of problems to specific solutions. 

Machine Learning Solutions Decision Tree

Machine learning is a technique of data science that helps computers learn from existing data in order to forecast future behaviors, outcomes, and trends. Currently there are lot of products which can be used for this on-premises or in the cloud, based on single node or multiple nodes, in relational database or in Hadoop based storage.

Any data science project should be driven by business problems that means data science serves an organization by providing answers for its business problems and strategies in decision making process.
The chart below is a mapping from business problems into types of learning methods but it’s not a mapping from a specific business application to a specific scientific method. The right methods should be chosen according to a specific business problem and the end performance matric.

https://www.linkedin.com/pulse/data-science-landscape-ling-zhang

KDnuggets Data Science Software Poll Big Data vs Deep Learning affinity for top tools

http://bbs.pinggu.org/thread-4678414-1-1.html

Advanced Analytics & Business Intelligence Comparison Table

We know that analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of data to gain insight and drive business planning. Analytics consists of two major areas: Business Intelligence and Advanced Analytics.

http://newscentral.exsees.com/item/53349ecf406c333c9e3aa977a47166d8-28d29ae28711ca128d5e6fc7395808a6