Daphne Koller




Daphne Koller (born 1968) is a Professor in the Department of Computer Science at Stanford University[1] and a MacArthur Fellowship recipient. She's also one of the founders of Coursera, an online education platform.

More info: http://en.wikipedia.org/wiki/Daphne_Koller

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Jan 9th 2017

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

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