Saturday, March 10, 2012 - 8:30am - 5:00pm

Upcoming

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Wednesday, February 15, 2012 - 6:30pm - 8:00pm
Padmanabhan Balamani
In this talk, I'll provide an extensive introduction to parallel and distributed machine learning. I'll answer the questions "How actually big is the big data?", "How much training data is enough?", "What do we do if we don't have enough training data?", "What are platform choices for parallel learning?" etc. Over an example of k-means clustering, I'll discuss pros and cons of machine learning in Pig, MPI, DryadLINQ, and CUDA.
Monday, February 27, 2012 - 6:30pm - 8:10pm
Ron Bekkerman, LinkedIn
R has become one of the most popular languages for data analysis and graphics. This workshop will provide a practical introduction to this comprehensive platform.  Participants will learn to import data into R from a variety of sources; clean, recode, and restructure data; and apply R’s many functions for summarizing, modeling, and graphing data. Both basic and more advanced forms of data analysis and graphics will be covered.
Saturday, March 10, 2012 - 8:30am - 5:00pm
Robert Kabacoff
What does the future hold for search user interfaces? Following on a recently completed book on this topic, this talk identifies some important trends in the use of information technology and suggest how these may affect search in future. This includes is a notable trend towards more “natural'' user interfaces, a trend towards social rather than solo usage of information technology, and a trend in technology advancing the integration of massive quantities of user behavior and large-scale knowledge bases.
Wednesday, March 21, 2012 - 6:30pm - 8:00pm
Marti Hearst
Randomized algorithms for very large matrix problems (such as matrixmultiplication, least-squares regression, the Singular Value
Monday, March 26, 2012 - 6:30pm - 8:00pm
Michael W. Mahoney