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
[…
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…
14th July 2015
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
[…
16th June 2015
In this blog post we'll examine some common techniques used in time series
analysis by applying them to a data set containing daily closing values for the
S&P 500 stock market index from 1950 up to present day. The objecti…