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Carlos Guestrin

Carlos Guestrin
Director of Machine Learning | Amazon Professor of Machine Learning, University of Washington, Apple | University of Washington


Carlos Guestrin is the Amazon Professor of Machine Learning at the
Computer Science & Engineering Department of the University of
Washington. He is also a co-founder and CEO of GraphLab Inc.,
focusing large-scale machine learning and graph analytics. His
previous positions include the Finmeccanica Associate Professor at
Carnegie Mellon University and senior researcher at the Intel Research
Lab in Berkeley. Carlos received his PhD and Master from Stanford
University, and a Mechatronics Engineer degree from the University of
Sao Paulo, Brazil. Carlos’ work has been recognized by awards at a
number of conferences and two journals: KDD 2007 and 2010, IPSN 2005
and 2006, VLDB 2004, NIPS 2003 and 2007, UAI 2005, ICML 2005, AISTATS
2010, JAIR in 2007 & 2012, and JWRPM in 2009. He is also a recipient
of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan
Fellowship, IBM Faculty Fellowship, the Siebel Scholarship and the
Stanford Centennial Teaching Assistant Award. Carlos was named one of
the 2008 `Brilliant 10’ by Popular Science Magazine, received the
IJCAI Computers and Thought Award and the Presidential Early Career
Award for Scientists and Engineers (PECASE). He is a former member of
the Information Sciences and Technology (ISAT) advisory group for


Data Science
Ballroom G
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Carlos Guestrin (Apple | University of Washington )
Average rating: ****.
(4.00, 10 ratings)
3-Hours: This tutorial will provide an introduction to modern machine learning. Attendees will learn how to leverage some of the most popular techniques used in fraud detection, social network analysis, and personalized recommendation services. Read more.