The Fourier Transform
The Fourier transform is one of the handiest tools in signal processing for dealing with periodic time series data. Using a Fourier transform, you can break apart a complex periodic function into a bu...
8 Jan 201815min
Statistics of Beer
What better way to kick off a new year than with an episode on the statistics of brewing beer?
2 Jan 201815min
Re - Release: Random Kanye
We have a throwback episode for you today as we take the week off to enjoy the holidays. This week: what happens when you have a markov chain that generates mashup Kanye West lyrics with Bible verses?...
24 Des 20179min
Debiasing Word Embeddings
When we covered the Word2Vec algorithm for embedding words, we mentioned parenthetically that the word embeddings it produces can sometimes be a little bit less than ideal--in particular, gender bias ...
18 Des 201718min
The Kernel Trick and Support Vector Machines
Picking up after last week's episode about maximal margin classifiers, this week we'll go into the kernel trick and how that (combined with maximal margin algorithms) gives us the much-vaunted support...
11 Des 201717min
Maximal Margin Classifiers
Maximal margin classifiers are a way of thinking about supervised learning entirely in terms of the decision boundary between two classes, and defining that boundary in a way that maximizes the distan...
4 Des 201714min
Re - Release: The Cocktail Party Problem
Grab a cocktail, put on your favorite karaoke track, and let’s talk some more about disentangling audio data!
27 Nov 201713min
Clustering with DBSCAN
DBSCAN is a density-based clustering algorithm for doing unsupervised learning. It's pretty nifty: with just two parameters, you can specify "dense" regions in your data, and grow those regions out o...
20 Nov 201716min
