Learning Probabilistic Graphical Models in R

Learning Probabilistic Graphical Models in R

by David Bellot

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Product Details

ISBN-13: 9781784392055
Publisher: Packt Publishing, Limited
Publication date: 04/29/2016
Pages: 250
Product dimensions: 7.50(w) x 9.25(h) x 0.53(d)

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 financial industry, where he develops financial 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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