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Peter Norvig: Keynote Speaker
"The Practice of Machine Learning."

Abstract: Machine Learning has proven to be an effective tool across many science and technology fields. Successful uses require skill in a number of areas: theoretical algorithms, the integration of software packages, good data handling practice, scientific subject area expertise, and general software engineering project management. This talk explores how to put these together.

Bio: Peter Norvig is a Director of Research at Google Inc. Previously, he was head of Google's core search algorithms group, and of NASA Ames' Computational Sciences Division, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986, and the distinguished alumni award in 2006. He was co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes.
Publications include:

  • Artificial Intelligence: A Modern Approach (the leading textbook in the field)
  • Paradigms of AI Programming: Case Studies in Common Lisp
  • Verbmobil: A Translation System for Face-to-Face Dialog
  • Intelligent Help Systems for UNIX
Peter is also the author of the Gettysburg Powerpoint Presentation and the world's longest palindromic sentence. He is a fellow of the AAAI, ACM, California Academy of Science and American Academy of Arts & Sciences.

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