3-Day Introductory BayesiaLab Course in Boston, MA
- Science & Technology
- Regus - Independence Wharf, Boston MA
Complimentary BayesiaLab Workshop in New York City, January 7, 3 - 5 p.m.
In fields ranging from bioinformatics to marketing science, Bayesian networks have revolutionized the way scientists explore high-dimensional problem domains. And, since the first release of the BayesiaLab software package in 2001, practitioners have been able to leverage this powerful paradigm for their research without having to write a single line of code.
Learn what the Bayesian networks revolution is all about, and join Dr. Lionel Jouffe, CEO of Bayesia, for a complimentary workshop on knowledge discovery with Bayesian networks and BayesiaLab. In the presentation, we will first lay out the basics of the Bayesian network formalism and then illustrate a practical application in a live software demo.
Target Audience: Applied researchers, statisticians, data scientists, data miners, epidemiologists, predictive modelers, econometricians, economists, market researchers, knowledge managers, marketing scientists, students and teachers in related fields.
Our 2-hour workshop will take place at the NYU Kimmel Center for University Life (Room GC 369). Our events typically fill up very quicky, so don't delay in signing up!
Bayesia USA is the North American sales and consulting organization for France-based Bayesia S.A.S. Their mission is to promote Bayesian networks as a new framework for knowledge discovery and reasoning within complex domains.
Founded by two professors in the field of artificial intelligence in 2001 and headquartered in northwestern France, Bayesia S.A.S. is the world's leading developer of research software based on the Bayesian network paradigm. Their principal product, BayesiaLab, is the only software platform that can perform unsupervised structural learning for knowledge discovery.
Today, BayesiaLab is being used by researchers in major organizations around the world, including P&G, Unilever, BBDO, GroupM, GfK, TNS, Ipsos, Mu Sigma, Booz Allen Hamilton, InterContinental Hotels Group, Dell and NASA's Jet Propulsion Laboratory among many others.
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