This year we've got two brackets to work with.
I am now making predictions from Day 1
Overall I'm happy with the first full 100% Python implemntation of the model.
Forecasting "The Walking Dead" Viewership via Time Series Regression with Seasonal ARIMA errors in R
I decided to try my hand and forecasting viewership for 'The Walking Dead'.
As far as PrestoDB, I'm definitely impressed.
I've christened the new model / interface DeepDribble, and it's currently live.
EMR and the associated AMI's still included Python 2.6. I have no idea what that's all about. Maybe Jeff Bezos hates Python.
If you’re not familiar with TrueSkill, it’s a rating system developed by Microsoft in order to assist in player matchmaking with their XBOX Live ...
It may turn out that boring is actually more correct, in which case I'll look silly, but it's all for fun anyway.
While we may not be able to watch The Interview any time soon..
I decided I should probably not eat out so often...
I've since developed a more accurate model, but I wanted to share a my initial attempt at a model for this problem that turned out very well. Simply repating...
Since I'm ending up typing a lot of these in LaTeX lately, I'd figured I post them out there for reference.
When doing an independent two-sample t-test, the default for R is to assume that two variances are not equal, which is why it spits out a big line that says ...
If you're looking for a good laugh, check out Tyler Vigen's website.
We had a great all-day R workshop on campus today, and I learned quite a bit.