Data Science Camp

The Data Science Camp is a free unconference, where attendees can propose and present sessions, and includes a keynote on Spark. There is separate morning tutorial on Principal Component Analysis (fee required).  This year, we are renaming the event to "Data Science Camp" to be more inclusive of Big Data and Data Mining.

Agenda: From 9-11am, there is a $40 tutorial on Principal Component Analysis (PCA) with Applications in R and Python from Dr. Kukuyeva. At 11:25am, we have our keynote presentation, "An Update on Distributed Computing with Spark" from Reza Zedeh.  Our main room can seat 410 people. At 12:25, we start the session proposals and assigning sessions to time slots and rooms. After lunch, we have our four 50 minute sessions, starting at 2, 3, 4 and 5pm. During each time slot, we can make use of 8 concurrent rooms.