Boulder Data Science

NOTE: This group meets directly before the Deep Learning Reading Group, at the same location. Feel free to participate in both! This group meets weekly to work on projects and discuss papers foundational to the field of Deep Learning - and this week, we are covering a more general Machine Learning topic - Bayesian Methods (this is our second week looking at this topic). Please familiarize yourself with the concepts of Bayesian Inference and Markov chain Monte Carlo, and come with any ideas or questions! To get onto slack, sign up here - https://bds-slackin.herokuapp.com/ This event is hosted by Galvanize and the Boulder Data Science group. Below are some resources that could help. Feel free to add more in comments below or on Slack: https://towardsdatascience.com/introduction-to-bayesian-linear-regression-e66e60791ea7 https://towardsdatascience.com/markov-chain-monte-carlo-in-python-44f7e609be98 https://blog.applied.ai/bayesian-inference-with-pymc3-part-1/ https://media.readthedocs.org/pdf/a-little-book-of-r-for-bayesian-statistics/latest/a-little-book-of-r-for-bayesian-statistics.pdf https://www.youtube.com/watch?v=0F0QoMCSKJ4