Federated Learning
As machine learning makes its way into more and more mobile devices, an interesting question presents itself: how can we have an algorithm learn from training data that's being supplied as users inter...
8 Touko 201714min
Word2Vec
Word2Vec is probably the go-to algorithm for vectorizing text data these days. Which makes sense, because it is wicked cool. Word2Vec has it all: neural networks, skip-grams and bag-of-words impleme...
1 Touko 201717min
Feature Processing for Text Analytics
It seems like every day there's more and more machine learning problems that involve learning on text data, but text itself makes for fairly lousy inputs to machine learning algorithms. That's why th...
24 Huhti 201717min
Education Analytics
This week we'll hop into the rapidly developing industry around predictive analytics for education. For many of the students who eventually drop out, data science is showing that there might be early...
17 Huhti 201721min
A Technical Deep Dive on Stanley, the First Self-Driving Car
In our follow-up episode to last week's introduction to the first self-driving car, we will be doing a technical deep dive this week and talking about the most important systems for getting a car to d...
10 Huhti 201740min
An Introduction to Stanley, the First Self-Driving Car
In October 2005, 23 cars lined up in the desert for a 140 mile race. Not one of those cars had a driver. This was the DARPA grand challenge to see if anyone could build an autonomous vehicle capable...
3 Huhti 201713min
Feature Importance
Figuring out what features actually matter in a model is harder to figure out than you might first guess. When a human makes a decision, you can just ask them--why did you do that? But with machine ...
27 Maalis 201720min
Space Codes!
It's hard to get information to and from Mars. Mars is very far away, and expensive to get to, and the bandwidth for passing messages with Earth is not huge. The messages you do pass have to travers...
20 Maalis 201723min
