MIT Sloan: Intro to Machine Learning (in 360/VR)

This is a guest talk for course 15.S14: Global Business of Artificial Intelligence and Robotics (GBAIR) taught in Spring 2017. If you’re interested in more r… Read more


Machine Learning in Haskell

Much advocacy of Haskell, in general, boils down to type-safety and elimination of bugs. How boring. My personal experience is that bugs are trickier in Haskell and I can write bad code in an extraordinary variety of ways. I don’t code in Haskell to help ... (more…)

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