After a relatively painless month or so of writing, I’ve finished my thesis. I’m yet to be examined, so whilst I can’t comment on how to write a good thesis, I’ve had a few thoughts on the process of getting … Keep reading
Blog
Three reasons you’re surprised that Trump won
Originally published on Medium.
1) People don’t understand probabilities
As America headed to the polls, high-quality forecasters gave Trump a 35% chance of victory. Somehow, people misinterpreted this as ‘Trump is unlikely to win the election’. Something that has … Keep reading
Deep Learning Practical 2: Decoding MNIST
MNIST (Mixed National Institute of Standards and Technology) is a database of handwritten digits. Compiled by Yann LeCun and colleagues, it’s a classic benchmark problem in machine learning. Pleasingly, you can write a model in Tensorflow that does a … Keep reading
Deep Learning Book Chapter 3: Numerical Computation
This chapter was a bit of pot-pourri of things the authors wanted to tell us before we got on to machine learning proper. Much of it was straightforward, and then there were a few stingers, such as the bits about … Keep reading
How others’ fortunes affect your happiness predicts generosity
This week we published a paper building on Robb Rutledge’s 2014 happiness model (my summary here), but asking whether we could also capture fluctuations in happiness that relate to what’s happening to other people around you.
We used a … Keep reading
Deep Learning Practical 1: Intro to Tensorflow
This week in the Deep Learning Reading Group we worked through some introductory exercises on Tensorflow, based upon the provided tutorials and edited by Zeb and I. It’s targeted at those with minimal Python experience, but who have programmed in … Keep reading