Linear Digressions

Linear Digressions

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520

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Data Contamination

Data Contamination

Supervised machine learning assumes that the features and labels used for building a classifier are isolated from each other--basically, that you can't cheat by peeking. Turns out this can be easier ...

2 Touko 201620min

Model Interpretation (and Trust Issues)

Model Interpretation (and Trust Issues)

Machine learning algorithms can be black boxes--inputs go in, outputs come out, and what happens in the middle is anybody's guess. But understanding how a model arrives at an answer is critical for i...

25 Huhti 201616min

Updates! Political Science Fraud and AlphaGo

Updates! Political Science Fraud and AlphaGo

We've got updates for you about topics from past shows! First, the political science scandal of the year 2015 has a new chapter, we'll remind you about the original story and then dive into what has ...

18 Huhti 201631min

Ecological Inference and Simpson's Paradox

Ecological Inference and Simpson's Paradox

Simpson's paradox is the data science equivalent of looking through one eye and seeing a very clear trend, and then looking through the other eye and seeing the very clear opposite trend. In one case...

11 Huhti 201618min

Discriminatory Algorithms

Discriminatory Algorithms

Sometimes when we say an algorithm discriminates, we mean it can tell the difference between two types of items. But in this episode, we'll talk about another, more troublesome side to discrimination...

4 Huhti 201615min

Recommendation Engines and Privacy

Recommendation Engines and Privacy

This episode started out as a discussion of recommendation engines, like Netflix uses to suggest movies. There's still a lot of that in here. But a related topic, which is both interesting and impor...

28 Maalis 201631min

Neural nets play cops and robbers (AKA generative adverserial networks)

Neural nets play cops and robbers (AKA generative adverserial networks)

One neural net is creating counterfeit bills and passing them off to a second neural net, which is trying to distinguish the real money from the fakes. Result: two neural nets that are better than ei...

21 Maalis 201618min

A Data Scientist's View of the Fight against Cancer

A Data Scientist's View of the Fight against Cancer

In this episode, we're taking many episodes' worth of insights and unpacking an extremely complex and important question--in what ways are we winning the fight against cancer, where might that fight g...

14 Maalis 201619min