Prophet is an open source forecasting tool built by Facebook. It can be used for time series modeling and forecasting trends into the future. Prophet is interesting because it's both sophisticated and quite easy to use, so it's po…
I try to experiment with a lot of different technologies. I’ve found that having experience with a diverse set of concepts, languages, libraries, tools etc. leads to more robust thinking when trying to solve a problem. If you do…
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 2…
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 2…
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 2…
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 2…
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…
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 2…
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 objective…
John Wittenauer