[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

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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