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BayesiaLab
2015 BayesiaLab Conference

3-Day Advanced BayesiaLab Course

October 8-10, 2015, 9am to 5pm - Hyatt Fairfax at Fair Lakes, 12777 Fair Lakes Circle, Fairfax, VA 22033

Course Overview

Dr. Lionel JouffeTake your BayesiaLab certification to the next level by joining the advanced BayesiaLab course in Boston. Completing this course brings you to the leading edge of applied research with Bayesian networks. Dr. Lionel Jouffe, CEO of Bayesia, will teach this 3-day course. Please download the complete course syllabus for details.

Who should attend? Applied researchers, statisticians, data scientists, data miners, epidemiologists, predictive modelers, econometricians, economists, market researchers, knowledge managers, marketing scientists, students and teachers in related fields.

What's required? Participants in the Advanced Course are required to have completed the Introductory Course.

In conjunction with the seminar, participants will have access to an unrestricted 60-day license of BayesiaLab 5.4 Professional.

The class is limited to a maximum of 15 participants in order to allow for one-on-one coaching during the hands-on exercises with BayesiaLab. This small-group format provides a productive yet informal learning environment that facilitates a lively dialog between participants from a wide range of backgrounds.

Course Venue

Hyatt Fairfax at Fair Lakes

12777 Fair Lakes Circle
Fairfax, Virginia 22033
+1 703 818 1234

Special Conference Rate
$159/night + taxes & fees
Click here to book

  Hyatt Fairfax at Fair Lakes
     

Conveniently located off I-66 in the Fair Lakes office park, the award-winning Hyatt Fairfax places you within minutes of major corporate offices such as Boeing, IBM, Northrup Grumman, General Dynamics, and near George Mason University, as well as both Dulles and Reagan National airports and the landmark sights of Washington, D.C.

     

Nearby Airports:

Washington Dulles International Airport (IAD), 12 miles

Ronald Reagan Washington National Airport (DCA), 24 miles

   Washington Area Map

Map

Course Syllabus

Please Register to Download the Course Syllabus (PDF, 27 pages, 2.2MB)