Next Meetup

Paper Group: Bayesian Statistics/Bayesian Methods
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

Galvanize Boulder

1023 Walnut St · Boulder, CO

What we're about

Hands-on project-oriented data science, with a heavy focus on machine learning and artificial intelligence. We're here to get neck-deep into projects and actually do awesome things!

Founded by Steven Rouk in November 2015, Boulder Data Science is a partner group to the Colorado Data Science Meetup which is based in Denver. Huge thanks to Galvanize and Graham McBain for their support, and for the inspiration for this group.

Members (968)

Photos (4)