Lie Detectors
Often machine learning discussions center around algorithms, or features, or datasets--this one centers around interpretation, and ethics. Suppose you could use a technology like fMRI to see what re...
25 Feb 20159min
The Enron Dataset
In 2000, Enron was one of the largest and companies in the world, praised far and wide for its innovations in energy distribution and many other markets. By 2002, it was apparent that many bad apples...
9 Feb 201512min
Labels and Where To Find Them
Supervised classification is built on the backs of labeled datasets, but a good set of labels can be hard to find. Great data is everywhere, but the corresponding labels can sometimes be really trick...
4 Feb 201513min
Um Detector 1
So, um... what about machine learning for audio applications? In the course of starting this podcast, we've edited out a lot of "um"'s from our raw audio files. It's gotten now to the point that, wh...
23 Jan 201513min
Better Facial Recognition with Fisherfaces
Now that we know about eigenfaces (if you don't, listen to the previous episode), let's talk about how it breaks down. Variations that are trivial to humans when identifying faces can really mess up...
7 Jan 201511min
Facial Recognition with Eigenfaces
A true classic topic in ML: Facial recognition is very high-dimensional, meaning that each picture can have millions of pixels, each of which can be a single feature. It's computationally expensive to...
7 Jan 201510min
Stats of World Series Streaks
Baseball is characterized by a high level of equality between teams; even the best teams might only have 55% win percentages (contrast this with college football, where teams go undefeated pretty regu...
17 Dec 201412min
Computers Try to Tell Jokes
Computers are capable of many impressive feats, but making you laugh is usually not one of them. Or could it be? This episode will talk about a custom-built machine learning algorithm that searches th...
26 Nov 20149min
