Extracting Actionable Insight from Dirty Time-Series Data

Lecture
Event UC Berkeley Data Science Lecture Series Location Berkeley, CA Date Jun 2013

Summary

How to extract real-time, actionable insight from noisy, incomplete streaming sensor data (earthquakes, supernovae, traffic), and the interplay between domain scientists, statisticians, and computer scientists.

Webcast archived on the BIDS video resources page.