Category tutorial

Intro to Probabilistic Programming with Stan

In this tutorial we’re going to talk about what probabilistic programming is and how we can use it for statistical modeling. If you aren’t familiar at all with Bayesian stats,...

Multivariate Pattern Analysis

Why are we even here?

Machine Learning Basics

General Machine Learning

A brief intro to the most useful kind of algebra (linear)

If you’ve ever wondered how R or python gives you regression coefficients, the answer is linear algebra! Linear algebra operations are essential to almost all modern methods for analyzing or...

Data wrangling in the tidyverse

Today we’re going to tackle a common problem faced by graduate students: you brainstormed to design an experiment with your PI, toiled away programming the task, put it out into...

Big Data & Complexity

As human beings continue to march through the information age, we produce ever-larger quantities of data every second. This is especially relevant to us as scientists, as data gathering and...

Interpreting Regression Coefficients

Have you ever ran a regression and wondered where the coefficients come from or what they mean? Or perhaps you’ve tried the same analysis with different coding schemes, and the...

Neural Networks

Hello! I hope you’re doing well. Today we have a tutorial on ~ neural networks ~

How To Build a Free Academic Website

with Jekyll and GitHub pages!

Bayesian Stats Basics

Bayesian statistics are gaining a whole lot of traction in psychology, neuroscience, and a whole lot of other fields. But, since most psychology departments don’t teach Bayesian statistics, you probably...

Reinforcement Learning

Our Scenario

Blogging with R markdown and GitHub Pages

If you’re making a blog post on R-related content, you’re probably going to do it using R markdown (Rmd). However, you may have noticed that our website runs on GitHub...

Intro to R and the Tidyverse

A too-brief overview of this powerful and (usually) intuitive approach to statistical computing.

The Magical Wonders of Git

Why git? git is a simple but highly flexible system for keeping track of stuff on one or more computers. But, everyone probably already has some way of doing the...

Category programming

Big Data & Complexity

As human beings continue to march through the information age, we produce ever-larger quantities of data every second. This is especially relevant to us as scientists, as data gathering and...

Intro to R and the Tidyverse

A too-brief overview of this powerful and (usually) intuitive approach to statistical computing.

Markdown hints

There are lots of powerful things you can do with the Markdown editor. If you’ve gotten pretty comfortable with writing in Markdown, then you may enjoy some more advanced tips...

The Magical Wonders of Git

Why git? git is a simple but highly flexible system for keeping track of stuff on one or more computers. But, everyone probably already has some way of doing the...

Category Jekyll

Markdown hints

There are lots of powerful things you can do with the Markdown editor. If you’ve gotten pretty comfortable with writing in Markdown, then you may enjoy some more advanced tips...

Category journal club

Journal Club: Gomila (2020)

A summary and some questions for group discussion.

Category modeling

Reinforcement Learning

Our Scenario

Category bayes

Bayesian Stats Basics

Bayesian statistics are gaining a whole lot of traction in psychology, neuroscience, and a whole lot of other fields. But, since most psychology departments don’t teach Bayesian statistics, you probably...

Category python

Big Data & Complexity

As human beings continue to march through the information age, we produce ever-larger quantities of data every second. This is especially relevant to us as scientists, as data gathering and...