Sports Betting with Reinforcement Learning

Sports betting is a popular past-time for many and a great use-case for an important concept known as dynamic programming that I’ll introduce in this video. We'll go over concepts like value iteration, the markov decision process, and the bellman optimality principle, all to help create a system that will help US optimally bet on the winning hockey team in order to maximize profits. Code, animations, theory, and yours truly. Enjoy! Code for this video: https://github.com/llSourcell/sports_betting_with_reinforcement_learning Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval The School of AI: https://www.theschool.ai/courses/move-37-course/ Github Syllabus: https://github.com/llSourcell/Move_37_Syllabus More learning resources: https://artint.info/html/ArtInt_227.html https://medium.com/@m.alzantot/deep-reinforcement-learning-demysitifed-episode-2-policy-iteration-value-iteration-and-q-978f9e89ddaa https://www.quora.com/What-is-an-intuitive-explanation-of-value-iteration-in-reinforcement-learning-RL https://www.quora.com/How-is-policy-iteration-different-from-value-iteration https://stackoverflow.com/questions/8337417/markov-decision-process-value-iteration-how-does-it-work Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 #SirajRaval #SportsBetting #ReinforcementLearning