An Introduction to Statistical (Machine) Learning

An Introduction to Statistical (Machine) Learning

An Introduction to Statistical (Machine) Learning

This event occurred in the past

Date and Time

Thursday, March 10, 2011 from 12:15 p.m. to 1:30 p.m.

Location

Serra Hall, Room 318

5998 Alcala Park San Diego, CA 92110

Cost

0

Details

An Introduction to Statistical (Machine) Learning

Presented by Daniel Robinson, Northwestern University

Pizza will be provided at 12:15pm.

For questions, please contact professor Cameron Parker at cparker@sandiego.edu.

Abstract

A massive amount of data exists from nearly every scientific field. The point of statistical learning is to analyze the data and determine patterns, observe trends, and develop models that can accurately predict the “outcome” for new data.

This lecture will give an introduction to statistical (machine) learning with a focus on supervised learning. The lecture will discuss a “real life” voice recognition problem that is motivated by applications such as Google's Voice Search.

Post Contact

Cameron Parker
cparker@sandiego.edu
619-260-4600

College of Arts and Sciences

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Fax: (619) 260-4162
casinfo@sandiego.edu

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