Optimization Problems
If modeling is about predicting the unknown, optimization tries to answer the question of what to do, what decision to make, to get the best results out of a given situation. Sometimes that's straigh...
22 Elo 201617min
Multi-level modeling for understanding DEADLY RADIOACTIVE GAS
Ok, this episode is only sort of about DEADLY RADIOACTIVE GAS. It's mostly about multilevel modeling, which is a way of building models with data that has distinct, related subgroups within it. What...
15 Elo 201623min
How Polls Got Brexit "Wrong"
Continuing the discussion of how polls do (and sometimes don't) tell us what to expect in upcoming elections--let's take a concrete example from the recent past, shall we? The Brexit referendum was, ...
8 Elo 201615min
Election Forecasting
Not sure if you heard, but there's an election going on right now. Polls, surveys, and projections about, as far as the eye can see. How to make sense of it all? How are the projections made? Whic...
1 Elo 201628min
Machine Learning for Genomics
Genomics data is some of the biggest #bigdata, and doing machine learning on it is unlocking new ways of thinking about evolution, genomic diseases like cancer, and what really makes each of us differ...
25 Heinä 201620min
Climate Modeling
Hot enough for you? Climate models suggest that it's only going to get warmer in the coming years. This episode unpacks those models, so you understand how they work. A lot of the episodes we do ...
18 Heinä 201619min
Reinforcement Learning Gone Wrong
Last week’s episode on artificial intelligence gets a huge payoff this week—we’ll explore a wonderful couple of papers about all the ways that artificial intelligence can go wrong. Malevolent actors?...
11 Heinä 201628min
Reinforcement Learning for Artificial Intelligence
There’s a ton of excitement about reinforcement learning, a form of semi-supervised machine learning that underpins a lot of today’s cutting-edge artificial intelligence algorithms. Here’s a crash co...
3 Heinä 201618min
