Author Archive
Neural Nets 101

Neural Nets 101

A neural network is a computational model inspired by neurons, and the neuronal circuits observed in biological systems.  The history behind neural networks is long and storied and could be its own blog post (and of course it is already its own blog post), so we won’t get into that here.  Instead, let’s just cover...
t-SNE and t-leaves

t-SNE and t-leaves

I stumbled upon a great blog post which discusses t-SNE.  If you’re not familiar with it, t-SNE is an algorithm that take high dimensional data (like fMRI images) and projects them down to a 2D space which is easier to view.  Of course, to make that sort of projection, some information from the high dimensional...

Podcast Roundup

Welcome to 2017!  For me, 2016 was the year of the podcast.  I started listening to several Machine Learning and Academia related podcasts.  Here’s a quick round-up of my favorites from the past year… Machine Learning Focused Partially derivative – This one is good if you’re new to ML, as it assumes very little background...
Organizing Research Papers with Mendeley and Dropbox

Organizing Research Papers with Mendeley and Dropbox

As academics we spend a lot of time reading, and a lot of time procrastinating.  At one point, my favorite procrastination activity was obsessively researching the “best” way to organize research papers for reading (instead of, you know, reading them).  I’ve had many systems; some paper based, and now mostly electronic.  I’ve finally settled on...