Introduction to Industrial Applications of Graphical Models
(NOTE: If you are not in the RSVP 'yes' list, please do not attend as security won't let you in).
Dr. Ralf Herbrich, the Director of Machine Learning at Amazon, will give an introduction to the application of graphical models in industry; drawing on his extensive experience in some of the top tech companies around today; Microsoft, Facebook and Amazon.
It's a great opportunity to understand how the industry is working with graphical models and to gain some international insight on how the utilisation of data and graphical models have evolved.
6:30pm for beer, nibbles and chat
7:00pm 'Introduction to Industry Applications of Graphical Models'
8:00pm Q&A (and more beer)
We're looking for sponsors (for the food & drink) for this meetup and future meetups - if your company would like some exposure around the big data & machine learning space then let us know!
Since November 2012, Ralf has worked at Amazon (https://www.amazon.com/) as Director of Machine Learning Science; until August 2013 he worked in Seattle and then in Berlin, Germany, in the areas of Forecasting, Content Linkage, Scalable Machine Learning Services and Vision-Assisted Technologies.
From October 2011 to November 2012, he worked at Facebook (https://www.facebook.com/) in Palo Alto & Menlo Park leading the Unified Ranking and Allocation team. This team is focused on building horizontal large-scale machine learning infrastructure for learning user-action-rate predictors that enabled unified value experiences across the products.
From 2009 to 2011, he was Director of Microsoft’s Future Social Experiences (FUSE) Lab UK (http://fuse.microsoft.com/) demonstrating and enabling new social experiences through development of computational intelligence technologies on large online data collections. From 2006 – 2009, together with Thore Graepel (http://research.microsoft.com/en-us/people/thoreg/default.aspx), he was leading the Applied Games (http://research.microsoft.com/en-us/groups/apg/default.aspx) and the Online Services and Advertising (OSA) research (http://research.microsoft.com/en-us/groups/osa/default.aspx) group which engaged in research at the intersection of machine learning and computer games as well as research in search and online advertising combining insights from machine learning, information retrieval, game theory, artificial intelligence and social network analysis. He joined Microsoft Research (http://research.microsoft.com/) in 2000 as a Postdoctoral researcher and Research Fellow of the Darwin College Cambridge (http://www.dar.cam.ac.uk/).
Prior to joining Microsoft, Ralf worked at the Technical University Berlin (http://www.tu-berlin.de/menue/home/parameter/en/) as a teaching assistant where he obtained both a diploma degree in Computer Science and a Ph.D. degree in Statistics.
His research interests include Bayesian inference and decision making, computer games, kernel methods and statistical learning theory.