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!
Join us on slack! https://join.slack.com/t/boulderdatascience/shared_invite/zt-20t147vcy-SIo7is6meTWOfHa1ENlJeA
The meetup consists of:
- recurring study groups (if you want to start one, just notify Ben to be made a meetup co-organizer).
- intermediate/advanced working groups (starting in 2019)
- occasional talks and gathering (aiming for at least quarterly starting in 2019)
Upcoming events (1)
See all- Reinforcement Learning Chapter 8 part 2Link visible for attendees
Last meeting we started Chapter 8: Planning and Learning with Tabular Methods which explores methods that use some data from environment interactions to build a model for indirect reinforcement learning. This meeting, we will try to finish the chapter which also concludes part 1 of the book on tabular methods.
Useful Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
My exercise solutions and chapter notes
Kickoff Slides which contain other links
Video lectures from a similar course
