Data Science Classroom: Clustering


Details
We're very pleased to have Dr. Abhijit Dasgupta, statistical consultant at NIH and other local businesses, and machine learning researcher, present our second Data Science Classroom event! Clustering (Unsupervised Learning) is a foundational Statistics and Machine Learning task, used to identify and visualize structure and commonalities in unlabeled data.
At 6:30pm, mingling, food and drink.
At 7:00pm, after the usual introduction, Abhijit will give a mostly-introductory talk, talking about when clustering is and isn't useful, methods for determining the number of clusters, scalability of different approaches, and related issues.
At 8:30pm or so, we will find a bar for Data Drinks.
So that we can best plan for this event, please do not RSVP "Yes" unless you would be willing to bet us even odds that you will actually attend.

Data Science Classroom: Clustering