Max Woolf (@minimaxir) is a Data Scientist at BuzzFeed in San Francisco. He is also an ex-Apple employee and Carnegie Mellon University graduate.

In his spare time, Max uses Python to gather data from public APIs and ggplot2 to plot plenty of pretty charts from that data. On special occasions, he uses Keras for fancy deep learning projects.

You can learn more about Max here, view his data analysis portfolio here, or view his coding portfolio here.

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.

Sep 10, 2018

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. Sep 10, 2018

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.

Jul 16, 2018

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. Jul 16, 2018

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

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

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.

Mar 19, 2018

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. Mar 19, 2018

A Visual Overview of Stack Overflow's Question Tags

I was surprised to see that all types of programming languages have quick answer times and a high probability of receiving an acceptable answer!

Feb 9, 2018

A Visual Overview of Stack Overflow's Question Tags

I was surprised to see that all types of programming languages have quick answer times and a high probability of receiving an acceptable answer! Feb 9, 2018

Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

A 36% price cut to GPU instances, in addition to the potential new benefits offered by software and GPU updates, however, might be enough to tip the cost-efficiency scales back in favor of GPUs.

Nov 28, 2017

Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

A 36% price cut to GPU instances, in addition to the potential new benefits offered by software and GPU updates, however, might be enough to tip the cost-efficiency scales back in favor of GPUs. Nov 28, 2017