The Colorado Data Science Team represents CU Boulder in machine learning competitions, and is an incredible opportunity to get hands-on experience applying modern machine learning tools to real problems with real data. We meet weekly on Tuesdays 5-6PM in ECCR 1B40.

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Weekly Meeting Structure

  • Practicing academic or industry data scientists give 10-15 minute talks
  • Students give 5 minute tutorials and presentations
  • Team discusses approaches to current competitions
Learn more about giving a talk or sponsoring a recruiting competition


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Recent News

Weekly Meeting 9/27/2016
Dirk Grunwald spoke to us about the DARPA spectrum challenge, CU Professor Brian Keegan presented his research on breaking news events' effect on Wikipedia collaboration networks, and our own Karthik Kannan gave team members a crash course in scikit-learn.
Weekly Meeting 9/20/2016
Jake Abernethy spoke to us about the Michigan Data Science Team, our top Rate My Professors competition teams gave presentations on their strategies, and we discussed competitions going forward.
Weekly Meeting 9/13/2016
Today Jordan Boyd-Graber gave us a high-level overview of topic models, and Sarah Withee presented on Support Vector Machines (SVMs)
Weekly Meeting 9/6/2016
Today Stephen Becker gave us a summary of his research and Pedro Rodriguez presented a survey of machine learning methods
Today we kickoff the first meet a data scientist series, review some basic NLP, and start our first Kaggle competition

The Data Science Team course will meet Tuesdays from 5 - 6 PM in ECCR 1B40. The first course meeting will be Tuesday, August 30th. For those enrolled in the 1-credit hour course, participation is a requirement.