Creating Software with Machine Learning: Challenges and Promise by Peter Norvig (Google)

Event Date: 

Wednesday, October 25, 2017 -
3:30pm to 4:30pm

Event Location: 

  • Campbell Hall
  • Data Science

 

Distinguished Lecture Series in Data Science -- note the unusual location

Title: Creating Software with Machine Learning: Challenges and Promise

Abstract: Traditionally, software is built by programmers who consider the possible situations and write rules to deal with them. But recently, many applications have been created by machine learning: the programmer is replaced by a trainer, who shows the computer examples until it learns to complete the task. This shift in the way software is built is opening up exciting new possibilities and posing new challenges.

Abstract:Traditionally, software is built by programmers who consider the possible situations and write rules to deal with them. But recently, many applications have been created by machine learning: the programmer is replaced by a trainer, who shows the computer examples until it learns to complete the task. This shift in the way software is built is opening up exciting new possibilities and posing new challenges.


Peter Norvig is  a director of research at Google Inc., and used to be its director of search quality. He was previously head of the Computational Sciences Division (now the Intelligent Systems Division) at NASA Ames Research Center.