[wplug] Fwd: Fwd: Forum 9:30am Sunday March 15. Machine Learning: What's all the fuss about? William Cohen, PhD; Hosted by Suzanne Powell.
John Lewis
oflameo2 at gmail.com
Sat Mar 14 20:03:40 EDT 2015
-------- Forwarded Message --------
Subject: Fwd: Forum 9:30am Sunday March 15. Machine Learning: What's
all the fuss about? William Cohen, PhD; Hosted by Suzanne Powell.
Date: Sat, 14 Mar 2015 19:46:16 -0400
From: David Tessitor <davetessitor at pghfree.net>
To: Brian Sammon <bsammon at fastmail.fm>, oflameo2 at gmail.com
-------- Forwarded Message --------
Picture of William Cohen*March 15.**Machine Learning: **What's all the
fuss about?**William Cohen, PhD; Hosted by Suzanne Powell. *
*Precis:*Machine learning is a scientific discipline that explores the
construction and study of algorithms that can learn from data.
*Abstract: *Such algorithms operate by building a model from example
inputs and using that to make predictions or decisions, rather than
following strictly static program instructions. Over the last few years
machine learning and related fields have become increasingly popular,
with small startups selling for hundreds of millions of dollars and the
job of "data scientist" being called the sexiest job of the 21st
century. In this talk William Cohen, an long-time researcher in machine
learning and professor in CMU's Machine Learning Department, will break
things down and answer questions like: what is machine learning? why is
it suddenly so important? and, what can and can't it do?* *
*Bio: *William Cohen is Professor, Machine Learning Department and
Language Technology Institute, Carnegie Mellon University, Director of
the Undergraduate Minor in Machine Learning and Co-Director of the
Master's of Science in Machine Learning program. He received his
bachelor's degree in Computer Science from Duke University in 1984, and
a PhD in Computer Science from Rutgers University in 1990. From 1990 to
2000 Dr. Cohen worked at AT&T Bell Labs and later AT&T Labs-Research,
and from April 2000 to May 2002 Dr. Cohen worked at Whizbang Labs, a
company specializing in extracting information from the web. Dr. Cohen
is a past president of the International Machine Learning Society, an
Action Editor for the Journal of Machine Learning Research, and an
Action Editor for the journal ACM Transactions on Knowledge Discovery
from Data. He is also an editor, with Ron Brachman, of the AI and
Machine Learning series of books published by Morgan Claypool. In the
past he has also served as an action editor for the journal Machine
Learning, the journal Artificial Intelligence, and the Journal of
Artificial Intelligence Research. He was General Chair for the 2008
International Machine Learning Conference, held July 6-9 at the
University of Helsinki, in Finland; Program Co-Chair of the 2006
International Machine Learning Conference; and Co-Chair of the 1994
International Machine Learning Conference. Dr. Cohen was also the
co-Chair for the 3rd Int'l AAAI Conference on Weblogs and Social Media,
which was held May 17-20, 2009 in San Jose, and was the co-Program Chair
for the 4rd Int'l AAAI Conference on Weblogs and Social Media. He is a
AAAI Fellow, and was a winner of the 2008 the SIGMOD "Test of Time"
Award for the most influential SIGMOD paper of 1998, and the 2014 SIGIR
"Test of Time" Award for the most influential SIGIR paper of 2002-2004.
Dr. Cohen's research interests include information integration and
machine learning, particularly information extraction, text
categorization and learning from large datasets. He holds seven patents
related to learning, discovery, information retrieval, and data
integration, and is the author of more than 200 publications.
*Obscure fact: * For those many friends whose research he has built on,
be warned. His full name, "William Weston Cohen", is an anagram of the
phrase "I now cite shallow men". (From Sara Cohen - no relation! - comes
this warning: "Women's rights activists would probably request you to
use the following anagram instead: 'I shall now cite women'".)
When he’s not working his day job, he avoids productive behavior by
playing music.
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