Learning Probabilistic Graphical Models in R
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First published: April 2016
Production reference: 1270416
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Credits
Author
David Bellot
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About the Author
David Bellot is a PhD graduate in computer science from INRIA, France, with a
focus on Bayesian machine learning. He was a postdoctoral fellow at the University
of California, Berkeley, and worked for companies such as Intel, Orange, and
Barclays Bank. He currently works in the nancial industry, where he develops
nancial market prediction algorithms using machine learning. He is also a
contributor to open source projects such as the Boost C++ library.
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