Consider the following problem (Project Euler, Problem #2):

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The Big Message

Have you ever sat around thinking “If only I could visualize the relationships between all of the characters in Star Trek across episodes, series, and movies…”? For the average person, perhaps not; but if you’re a Trek fan, it’s not out of the realm of possibility that in some version of the timeline you’ve had this thought once or twice.

Is it possible for a neural network to learn how to talk like humans? Recent advances in recurrent neural networks allow us to model a language, by predicting what words will come next given a context.

This blog post also serves as release notes for RSiteCatalyst v1.4.9, as only one feature was added (batch report request and download). But it’s a feature big enough for its own post!

It is very interesting to see the connection between the different approaches to solve the linear regression problem.

You’ve studied machine learning, you’re a dataframe master for massaging data, and you can easily pipe that data through a bunch of machine learning libraries.

In this last post I gave a short introduction to Scala. In this article, I will show you the strength of Scala for solving one of the mathematical problems posted on Project Euler. The problem description is as follows:

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