6th April 2016
A quick note for anyone interested in deep learning - I've been working through
Google's deep learning class on Udacity
[https://www.udacity.com/course/deep-learning--ud730] and posted (most of) the
assignments on my IPyt…
13th March 2016
This post is part of a series covering the exercises from Andrew Ng's machine
learning [https://www.coursera.org/course/ml] class on Coursera. The original
code, exercise text, and data files for this post are available here
[…
2nd February 2016
We've seen a number of really interesting developments occur in the machine
learning world over the last few months and I wanted to spend some time teasing
out a few ideas I've been thinking about in relation to these anno…
6th November 2015
Natural language processing is a huge sub-field of artificial intelligence that
deals with models and representations for natural language. A very common way to
represent words, phrases, and documents in modern NLP involves the us…
23rd September 2015
Probablistic programming is an expressive and flexible way to build Bayesian
statistical models in code. It's an entirely different mode of programming that
involves using stochastic variables defined using probability distrib…