[Compstats] Talk on principles of machine learning (Wed 4pm DC2306C)
ppoupart at cs.uwaterloo.ca
Wed Jan 20 08:58:23 EST 2010
Quick reminder regarding Shai's talk this afternoon at 4pm in DC2306C.
Pascal Poupart wrote:
> Hi everyone,
> Shai will break the ice on Wednesday with a first talk on the
> principles of machine learning. The talk will be at 4pm in the AI lab
> Speaker: Shai Ben-David
> Title: No Free Lunch in Machine Learning
> One of the most fundamental insights of machine learning is the No
> Free Lunch (NFL) principle, stating that no learning is possible
> without the application of prior domain knowledge.
> In spite of the crisp and basic nature of this principle, many seem to
> be ignorant of it and of its implications.
> On the application side, we come across doctors that expect machine
> learning to deliver medical insights based on just raw
> archives of patient files, data base people that expect clustering to
> detect duplicate records from input consisting of just a collection of
> records and the list goes on and on. Even more bothersome is the
> recent emergence of CS professionals that
> promise (either implicitly or explicitly) "universal" machine learning
> tools that can "learn any needed the prior knowledge autonomously".
> Two upcoming distinguished talks here in Waterloo (Hinton's talk at
> the CS club on Jan 26th, and Lipson's Perimeter Institute February
> Public Talk
> are relevant in this context.
> In my talk, I will explain the NFL principles and discuss its
> applications in several established as well as emerging ML paradigms
> (including why it rules out the existence of universal learning tools).
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Canada N2L 3G1
Email: ppoupart at cs.uwaterloo.ca
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