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 Helmi 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 Tammi 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 Tammi 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 Tammi 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 Joulu 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 Marras 20149min
How Outliers Helped Defeat Cholera
In the 1850s, there were a lot of things we didn’t know yet: how to create an airplane, how to split an atom, or how to control the spread of a common but deadly disease: cholera. When a cholera ou...
22 Marras 201410min
Hunting for the Higgs
Machine learning and particle physics go together like peanut butter and jelly--but this is a relatively new development. For many decades, physicists looked through their fairly large datasets usi...
16 Marras 201410min
