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Enhancing Recommendations with Machine Learning: Netflix Prize

Explore the world of Machine Learning with Dell Zhang from Birkbeck, University of London. Learn about algorithms and concepts behind improving system accuracy through experience. Dive into the $1,000,000 Netflix Prize challenge that rewards innovation in recommendation systems.

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Enhancing Recommendations with Machine Learning: Netflix Prize

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  1. Machine Learning Dell Zhang Birkbeck, University of London

  2. Netflix Prize • $1,000,000 • to the first personto 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.

  3. Concepts • Learning = • improving performance • at some task • through experience Human / Machine Prof. Tom Mitchell

  4. Concepts • Machine Learning (ML)is a subfield of artificial intelligenceconcerned 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.

  5. 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 machinelearning algorithms rely heavily on mathematics(in particular statistics).

  6. 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

  7. Concepts • Closely Related Areas • Data Mining or KDD • Pattern Recognition

  8. References

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