Lynx Roundup, September 7th, 2019

Lynx Roundup, September 7th, 2019

Model-based Reinforcement Learning! Handling imbalanced classes with Hellinger distance! Even MORE itertools!

Matthew Alhonte
Matthew Alhonte
RL — Model-based Reinforcement Learning
Reinforcement learning RL maximizes rewards for our actions. From the equations below, rewards depend on the policy and the system dynamics (model). In Model-free RL, we ignore the model. We depend…
Building a pushup counter with OpenCV + Clojure
Hello folks. I built a pushup counter with OpenCV + Clojure. Here is a video it working (please excuse my poor pushup form). Then it averages the Ycoordinate values of all the white pixels. This…
Classifying Imbalanced Data Using Hellinger Distance
You know how it goes sometimes, you want to build a predictive classification model for an imbalanced data set. So you go ahead and choose python as your programming language, sklearn as your…
Interview with Pixel Pushers Union 512
by Ted Anderson, Jamie Woodcock // On worker coops and political games
The Internet Is a Cesspool of Racist Pseudoscience
The author of Superior: The Return of Race Science knows this from firsthand experience


Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.