Last week, I published two posts that relate to a very interesting and socioeconomically relevant machine learning topic: human augmentation through artificial intelligence. There have been many examples that made their way in the mainstream media where we’ve seen AI push the limits of what was possible, especially since deep learning really took off. One of the big recent examples is of course, AlphaGo. But human augmentation isn’t about … Continue reading Human augmentation through artificial intelligence
I recently gave a talk at PyCon Canada 2015 in Toronto about the Epic NHL goal celebration hack with a hue light show and real-time machine learning blog post.
The 2015 Canadian federal election is in its final stretch and college and I thought it would be a great opportunity to collect some data and do some machine learning. Citizen data science in action! We looked at the press releases of non-regional Canadian federal political parties using Datacratic’s Machine Learning Database (MLDB). The image below is a map with 620 dots each representing one … Continue reading Mapping Press Releases in the 2015 Canadian Federal Election
See media coverage of this blog post. In Montréal this time of year, the city literally stops and everyone starts talking, thinking and dreaming about a single thing: the Stanley Cup Playoffs. Even most of those who don’t normally care the least bit about hockey transform into die hard fans of the Montréal Canadiens, or the Habs like we also call them. Below is a … Continue reading Hacking an epic NHL goal celebration with a hue light show and real-time machine learning