This is the second post in a series of posts about moving from a PhD in Psychology/Cognitive Psychology/Cognitive Neuroscience to data science. The first post answers many of the best and most common questions I've heard about my transition. This post focuses on the technical skills that are …

A number of people have asked about moving from a PhD in Psychology/Cognitive Psychology/Cognitive Neuroscience to data science. This blog post is part of a 2-part series where I record my answers to the best and most common questions I've heard. Part 2 can be found here.

Before …

I recently spent an entire afternoon debugging a solution for automatically launching a weekly emr job.

Hopefully, I can save someone the same pain by writing this blog post.

I decided to use Cron to launch the weekly jobs. Actually launching a weekly job on Cron was not difficult. Check …

I recently found myself in a argument with my wife regarding whether TV was better now than previously. I believed that TV was better now than 20 years ago. My wife contended that there was simply more TV content being produced, and that this led to more good shows, but …

NOTE: Since writing this post, PBS Newshour changed their site. They know use the url, https://www.pbs.org/newshour/video. The mechanics here will work but the url has changed and some of the queries need to be changed too. Check the repo for a working version of the …

DISCLAIMER: I PULLED DOWN THE EC2 INSTANCE SUPPORTING THIS PROJECT

In January 2017, I started a fellowship at Insight Data Science. Insight is a 7 week program for helping academics transition from academia to careers in data science. In the first 4 weeks, fellows build data science products, and fellows …

I've been hearing about the Monty Hall problem for years and its never quite made sense to me, so I decided to program up a quick simulation.

In the Monty Hall problem, there is a car behind one of three doors. There are goats behind the other two doors. The …

I recently presented at the annual meeting of the society for neuroscience, so I wanted to do a quick post describing my findings.

The reinforcement learning literature postulates that we go in and out of exploratory states in order to learn about our environments and maximize the reward we gain …

Principal Component Analysis (PCA) is an important method for dimensionality reduction and data cleaning. I have used PCA in the past on this blog for estimating the latent variables that underlie player statistics. For example, I might have two features: average number of offensive rebounds and average number of defensive …

This summer I had the pleasure of attending the Brains, Minds, and Machines summer course at the Marine Biology Laboratory. While there, I saw cool research, met awesome scientists, and completed an independent project. In this blog post, I describe my project.

In 2012, Krizhevsky et al. released a convolutional …