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Announcing: NBA learner v0.1

Tonight is the opening night of the 2014-15 NBA season.  This year, we will be running a machine learning algorithm aimed at estimating underlying features characterizing each team.  With these features, we hope to identify interesting match-ups (including potential upsets), similar team-playing-style categories, and win-loss probabilities for future games.  As of now, the only source data that we intend to feed our system will be win-loss results of completed games.  As the season progresses, our algorithm will thus have more and more data informing it —  It will be interesting to see if it can begin to provide accurate predictions by the end of the season.  Stay tuned for periodic updates on this experiment!