We have an exciting array of speakers lined up this semester! Please feel free to join even if you are not in the class (space permitting). We will also occasionally have remote speakers in which case anyone can join via Zoom (pass: "data").

Our primary goal is educational: to get hands on experience working in teams applying modern machine learning tools to real problems with real data. As part of this goal, we compete in internal prediction challenges, as well as represent CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian, and other platforms. The team has an official 1-credit companion course as well.

Every meeting (Tuesdays @ 5pm), we begin by hearing from a practicing data scientist or data science researcher. Talks are usually 10-15 minutes, and give students a glimpse of the breadth of data science in practice, beyond classroom projects and competitions, and the diversity in the types of data, techniques, and applications. Researchers often share techniques they are developing, or how they use existing techniques to advance scientific knowledge; practicing data scientists often share their experiences about what works and when it works. Talks are typically aimed toward beginner and intermediate students, with some technical details for the more advanced students.