A quick note for anyone interested in deep learning - I've been working through Google's deep learning class on Udacity and posted (most of) the assignments on my IPython Github repo. There are links in the README to rendered ver…
This post is part of a series covering the exercises from Andrew Ng's machine learning class on Coursera. The original code, exercise text, and data files for this post are available here. Part 1 - Simple Linear Regression Part…
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 announcement…
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…
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 distributi…