I love plants. I’m not quite sure why, but over the recent years, it’s been a growing love affair; pun intended. I’m lucky to have room on my rooftop to grow lots of veggies in the summer. I’ve been building up capacity and I’m now up to 7 irrigated containers. I even managed to grow corn that was 9+ feet tall during my first summer! … Continue reading Building an indoor NFT hydroponics system with Raspberry Pi monitoring
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’ve been playing with the macOS Sierra Golden Master for a few days and ran into the new storage optimization app that is now included in macOS. It prompted me that I was running low on disk space, and displayed the following dialog. The first item on the list was a bit shocking: How could Chrome be using 21GB of my precious SSD space?! I quickly looked … Continue reading Is your Chrome bigger than mine? How Chrome ate 21GB of storage
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.
In a hurry? Go straight to the graphs. The dataset and notebook detailing how this was done are available in the companion repository. Two weeks ago was Back To The Future Day. October 21st, 2015 is the day Marty and Doc Brown travel to at the beginning of the second movie. The future is now the past. There were worldwide celebrations and jokes, from the … Continue reading Actually, Marty didn’t go Back To The Future: Graphing the train sequence of BTTF3
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
Je suis heureux d’annoncer la disponibitlié immédiate de mon dernier album intitulé “Une dernière chance“. Cet album fut réalisé sur une période de plusieurs années, parsemées de plusieurs longues pauses. Il est disponible gratuitement sur Soundcloud, Spotify, et également sur iTunes. Plus de détails sur ma page de musique.
I just published a new post on the Datacratic blog: The Too Good To Be True Filter. At Datacratic, one of the product we offer our customers is our real-time bidding (RTB) optimisation that can plug directly into any RTBKit installation. We’re always hard at work to improve our optimisation capabilities so clients can identify valuable impressions for their advertisers. Every bid request is priced … Continue reading The Too Good To Be True Filter
Je viens de publier un article, MapReduce avec parallel, cat et une redirection, sur le blogue de Datacratic.