[Compstats] Talk on principles of machine learning (Wed 4pm DC2306C)

Pascal Poupart ppoupart at cs.uwaterloo.ca
Wed Jan 20 08:58:23 EST 2010

Hi everyone,

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 
> (DC2306C).
> Speaker: Shai Ben-David
> Title: No Free Lunch in Machine Learning
> Abstract:
> 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 
> http://www.perimeterinstitute.ca/en/Outreach/Public_Lectures/Public_Lectures/) 
> 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).

Pascal Poupart
Associate Professor
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Waterloo, Ontario
Canada N2L 3G1
Web: http://www.cs.uwaterloo.ca/~ppoupart
Email: ppoupart at cs.uwaterloo.ca 
Telephone: 1-519-888-4567x36239 
Fax: 1-519-885-1208

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