teaching methods
These graduate students had no idea their teaching assistant was a robot
On the Internet, "nobody knows you're a dog," as the old meme goes, and today, the same can increasingly be said of robots. There are already scheduling robots that are virtually indistinguishable from humans, and recently students at the Georgia Institute of Technology learned that "Jill Watson" -- a teaching assistant they had relied upon all semester -- was in fact artificially intelligent. "The world is full of online classes, and they're plagued with low retention rates," said Ashok Goel, a Georgia Tech professor who teaches a class entitled Knowledge-Based Artificial Intelligence. "One of the main reasons many students drop out is because they don't receive enough teaching support. We created Jill as a way to provide faster answers and feedback."
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An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
This book is an introduction to support vector machines and related kernel methods in supervised learning, whose task is to estimate an input-output functional relationship from a training set of examples. A learning problem is referred to as classification if its output take discrete values in a set of possible categories and regression if it has continuous real-valued output.