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 Des 201617min
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 Des 201623min
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 Nov 201612min
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 Nov 201616min
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 Nov 201616min
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 Nov 201620min
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 Okt 201615min
Fighting Cancer with Data Science: Followup
A few months ago, Katie started on a project for the Vice President's Cancer Moonshot surrounding how data can be used to better fight cancer. The project is all wrapped up now, so we wanted to tell ...
24 Okt 201625min
