Lynx Roundup, September 7th, 2019 Model-based Reinforcement Learning! Handling imbalanced classes with Hellinger distance! Even MORE itertools! Matthew Alhonte 07 Sep 2019 RL — Model-based Reinforcement LearningReinforcement 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…MediumJonathan HuiBuilding a pushup counter with OpenCV + ClojureHello 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…MediumcollinalexbellClassifying Imbalanced Data Using Hellinger DistanceYou 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…MediumEvgeni DubovInterview with Pixel Pushers Union 512by Ted Anderson, Jamie Woodcock // On worker coops and political gamesNotes From BelowPixel Pushers Union 512The Internet Is a Cesspool of Racist PseudoscienceThe author of Superior: The Return of Race Science knows this from firsthand experienceScientific American Blog NetworkAngela Sainihttps://more-itertools.readthedocs.io/en/latest/api.html Roundup Matthew Alhonte @MattAlhonte 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. Hackers and Slackers Newsletter Join the newsletter to receive the latest updates in your inbox. Your email address Subscribe Please check your inbox and click the link to confirm your subscription. Please enter a valid email address! An error occurred, please try again later.