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Machine Learning Dell Zhang Birkbeck, University of London Netflix Prize $1,000,000 to the first person to improve the accuracy of its recommendation system by 10 percent. $50,000 to the current leader each year for as long as the contest runs. Concepts Learning = improving performance at some task through experience Human / Machine Prof. Tom Mitchell Concepts Machine Learning (ML) is a subfield of artificial intelligence concerned with algorithms that allow computers to learn. What this means, in most cases, is that algorithm is given a set of data and infers information about the properties of data – and that information allows it to make predictions about other data that might see in the future. Concepts This is possible because almost all non-random data contains patterns, and these patterns allow the machine to generalize. In order to generalize, it trains a model with what it determines are the important aspects of the data. Many machine learning algorithms rely heavily on mathematics (in particular statistics). Concepts The Bean Machine Wikipedia http://en.wikipedia.org/wiki/Bean_machine Demonstration: http://www.youtube.com/watch?v=AUSKTk9ENzg Simulation: http://www.ms.uky.edu/~mai/java/stat/GaltonMachine.html Concepts Closely Related Areas Data Mining or KDD Pattern Recognition References