Learning Bayesian Statistics With Pokemon GO (Tushar Chandra) скачать в хорошем качестве

Learning Bayesian Statistics With Pokemon GO (Tushar Chandra)

Speaker: Tushar Chandra Title: Learning Bayesian Statistics with Pokemon GO Video:    • Learning Bayesian Statistics With Pokemon ...   Event description: In the mobile game Pokemon GO, players can rarely encounter "shiny" Pokemon. The exact appearance rates are unknown. But by using Bayesian inference and PyMC, we can model different species’ shiny rates. In this beginner-level tutorial, we will introduce fundamental principles at the heart of Bayesian modeling; then we will apply them to develop PyMC models that can answer questions about Pokemon GO. Discourse Discussion https://discourse.pymc.io/t/learning-... Timestamps 0:00 Start of event x:xx x:xx Note: help us add timestamps here https://github.com/pymc-devs/video-ti... Speaker bio: Tushar is a senior data scientist at Nielsen Global Media in Chicago. At Nielsen, he works on developing Bayesian models for next-generation audience measurement. He loves cats (living with two, Luna and Ruby), chai, and college football. This is his first conference talk! Speaker info: -GitHub: https://github.com/tuchandra -Twitter:   / threeshar   -Website: https://tusharc.dev/ Part of PyMCon2020. More details at http://www.pymcon.com #bayesian #statistics #PyMC