I am a computer scientist specializing in building machine learning powered products. I’m currently a machine learning developer at Local Logic.
Featured posts
data-science & machine-learning
Epic Goal Celebration Hack Update: ESPN coverage
ESPN did a mini-documentary on the Epic Goal Celebration Hack.
ReadPyCon Canada 2016: Building a real-time image classification web app with Python and MLDB.ai
In this tutorial, we will build a real-time machine learning web app using Python and MLDB.ai. We will use MLDB's Tensorflow integration to use a deep learning model to embed images in a high dimensional conceptual space, and use that representation as features to do transfer learning. This will allow us to build a real-time image classification endpoint.
ReadPyCon Canada 2015: Epic NHL goal celebration hack
Video and slides of my PyCon Canada 2015 talk on the "Epic NHL goal celebration hack with a hue light show and real-time machine learning".
ReadActually, Marty didn't go Back To The Future: Graphing the train sequence of BTTF3
Data-science tribute to BTTF. This post explores if, in the third film, they really make it to 88 miles per hour before they run out of tracks?
ReadMapping Press Releases in the 2015 Canadian Federal Election
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!
ReadHacking an epic NHL goal celebration with a hue light show and real-time machine learning
This post does a deep dive on the **epic goal celebration hack**. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room.
Read