Courses

Robust predictive modeling through Structured Risk Minimization
January 30, 2007 9:00 am PST/11:00 am CST/12:00 noon EST

Guest Speaker: Dr. Isabelle Guyon, expert in machine learning theories, data mining, statistical data analysis, and predictive modeling.

How do predictive models learn from examples?

KXEN models are trained from examples, using theoretically grounded learning algorithms. Models should not just fit training examples as well as possible; they must make good predictions on new data. Good learning algorithms avoid "overlearning" the training data or "overfitting". How and why does this work?

Join us and our special guest speaker, Isabelle Guyon, for this live 60 minute web seminar explaining the Structural Risk Minimization (SRM) principle and how it is put to work to avoid the problem of "overfitting".

Register Now!