Welcome to Analyze Boulder 66!
Analyze Boulder is a community of data geeks who live, work, and play in Boulder, Colorado.
The first Wednesday of every month, our members give fast, accessible, high-energy TED-style talks once a month on any data topic. Contact us (http://speakers.analyzeboulder.com/) if you want to present at a future event.
We start with social time / beer from 6-6:30pm, followed by the live event, and then we stick around and chat over beers afterwards. You can also join the event via our live stream (see below).
Please bring cash to contribute for beer. The evening's speaker lineup:
Kyle Campbell will share how he and a team of three others created a real-time data pipeline for mobile game analytics. Learn about their design process and resulting architecture as well as how history shapes architecture decisions in our newest generation of data pipelines.
Michael Dyer talks about transfer learning and dogs. (Who doesn't love dogs?!) What is transfer learning, anyway? Transfer learning is a means by which you can use models that have been trained on generalized data sets to help us with more specific use cases. Join us to see how image-based dog breed prediction captures what we can learn from and lean on using transfer learning.
Kirk DeLisle joins us to share his PacMan on-steroids clone. He's given PacMan a neural network brain that evolves over time. You can check out the project here: https://sourceforge.net/projects/aipac/.
Join the Live Stream Here at 6:30 PM MST