UMBC ACM Tech Talk Series 10/24: Oates on Machine Learning

 

In the first talk of the UMBC ACM Student Chapter's Tech Talk Series, CSEE Prof. Tim Oates will talk about Machine Learning and how it makes an impact on your daily life.

 

Facebook has one billion users, there are more than 400 million tweets per day, and Google is approaching 5 billion searches per day.  These companies and many of their brick and mortar counterparts are increasingly interested in what their data can tell them, and are hiring data scientists – people with a background in machine learning or data mining – at an astounding rate.  In this talk I will briefly introduce the core concepts of machine learning, and describe some of its most interesting successes and some of the more mundane (though perhaps surprising) ways it impacts your life on a daily basis. Finally, I will conclude with a short overview of some successes of machine learning in my own lab, including producing textual descriptions of people in triage images involved in mass disasters, extracting scripts (stereotypical actions sequences) from massive text corpora, and predicting outcomes for victims of traumatic brain injury using vital signs time series.

 

Light refreshments will be served. Please RSVP via the event on Facebook.

 

Where: ITE Building, Room 239 

Date : Wednesday October 24, 2012

Time 11.45 am – 12.45 pm