InfoQ Homepage Presentations Machine Learning for Programming
Machine Learning for Programming
33:28
Summary
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
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’s 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.
About the conference
SPLASH — the ACM SIGPLAN conference on Systems, Programming, Languages and Applications: Software for Humanity — embraces all aspects of programming, languages, and software construction and delivery. It incorporates OOPSLA, Onward!, the Dynamic Languages Symposium, and a host of workshops, panels, tutorials, demonstrations and invited talks.
Mar 06, 2015
Community comments
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by Michael Sean Wright,
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by Michael Sean Wright,
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We are learning as fast as we want to.
Why doesn't the neural in neural network have more to do with brain function than it currently does?
The simplification process is of course correct. When random/ chance is allowed we get messy but somewhere in all that jazz is the new and bold.
Will machine learning ever be able to spot the genius spark rather than dismiss as error?
Thank you for this presentation and module that provides the slides so that I could follow along.