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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Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil

Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil

We have the pleasure of bringing you a very special crossover episode this week: our friends at Partially Derivative (another great podcast about data science, you should check it out) recently interv...

18 Joulu 201646min

How to Lose at Kaggle

How to Lose at Kaggle

Competing in a machine learning competition on Kaggle is a kind of rite of passage for data scientists. Losing unexpectedly at the very end of the contest is also something that a lot of us have expe...

12 Joulu 201617min

Attacking Discrimination in Machine Learning

Attacking Discrimination in Machine Learning

Imagine there's an important decision to be made about someone, like a bank deciding whether to extend a loan, or a school deciding to admit a student--unfortunately, we're all too aware that discrimi...

5 Joulu 201623min

Recurrent Neural Nets

Recurrent Neural Nets

This week, we're doing a crash course in recurrent neural networks--what the structural pieces are that make a neural net recurrent, how that structure helps RNNs solve certain time series problems, a...

28 Marras 201612min

Stealing a PIN with signal processing and machine learning

Stealing a PIN with signal processing and machine learning

Want another reason to be paranoid when using the free coffee shop wifi? Allow us to introduce WindTalker, a system that cleverly combines a dose of signal processing with a dash of machine learning ...

21 Marras 201616min

Neural Net Cryptography

Neural Net Cryptography

Cryptography used to be the domain of information theorists and spies. There's a new player now: neural networks. Given the task of communicating securely, neural networks are inventing new encrypti...

14 Marras 201616min

Deep Blue

Deep Blue

In 1997, Deep Blue was the IBM algorithm/computer that did what no one, at the time, though possible: it beat the world's best chess player. It turns out, though, that one of the most important moves...

7 Marras 201620min

Organizing Google's Datasets

Organizing Google's Datasets

If you're a data scientist, there's a good chance you're used to working with a lot of data. But there's a lot of data, and then there's Google-scale amounts of data. Keeping all that data organized...

31 Loka 201615min