Things About Real-World Data Science Not Discussed In MOOCs and Thought Pieces

MOOCs and thought pieces overfit to a certain style of data science that is not robust to the vast uncertainties of the real world.

October 22, 2018 · 9 min

Problems with Predicting Post Performance on Reddit and Other Link Aggregators

The nature of algorithmic feeds like Reddit inherently leads to a survivorship bias: although users may recognize certain types of posts that appear on the front page, there are many more which follow the same patterns but fail.

September 10, 2018 · 10 min

Analyzing IMDb Data The Intended Way, with R and ggplot2

For IMDb’s big-but-not-big data, you have to play with the data smartly, and both R and ggplot2 have neat tricks to do just that.

July 16, 2018 · 11 min

How to Quickly Train a Text-Generating Neural Network for Free

Train your own text-generating neural network and generate text whenever you want with just a few clicks!

May 18, 2018 · 9 min

Visualizing One Million NCAA Basketball Shots

Although visualizing basketball shots has been done before, this time we have access to an order of magnitude more public data to do some really cool stuff.

March 19, 2018 · 6 min