Here is a recorded version of an in-person training I have been doing. Enjoy. I end up coming back to this myself even for reference.
This episode is all about performing data manipulation to derive raw insights from your data using the R programming language. Data manipulation is the core to anything and everything you do in business intelligence and machine learning. This episode sets the base for all R based intelligence sessions from here on out.
This article is a video tutorial on introduction to the very bare basics of R. Its a bit dry, but it is the underlying components of everything covered in the interesting stuff. Can’t do cool stuff without understanding the basics first.
Today is a freaking cool day. Why do you ask? Because today I am writing an article on how to use two of the coolest freaking big data/data science tools out there together to do epic shit! Lets start with HBase. HBase is a way to have a big data solution with query performance at an interactive level. So many folks are starting to just dump data into HBase. In the project teddy solution, we are dumping tweets, dialogue and dialogue annotations to power our open domain conversational api. There really is no other way that is easy to use for us to do this.
The second part of project teddy is to predict based on an incoming conversational component, what sort of response the speaker is attempting to illicit from the teddy bear. If we power our teddy bear with predictive analytics and big data, this would be perfect. What better platform to do this quickly and easily than AzureML?