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Hortonworks Chief Data Scientist: Bayesian networks with R and Hadoop

This meetup is co-hosted with Palo Alto Data Science Association.

In modeling intelligent systems for real world applications, one inevitably has to deal with uncertainty. Bayesian networks are well established as a modeling tool for expert systems in domains with uncertainty, mainly because of their powerful yet simple representation of probabilistic models as a network or graph. They are widely used in fields such as genetic research, healthcare, robotics, document classification, image processing and gaming. Working with large-scale bayesian networks is a computationally-intensive endeavor.

In this talk, Hortonworks Director of Data Science Ofer Mendelevitch will describe how to work with R and Hadoop to implement large scale Bayesian Networks for real world datasets.

Wednesday, February 4, 2015
BNY Mellon Innovation Center of Silicon Valley 3495 Deer Creek Road, 2nd Floor, Palo Alto, CA