3-Day Introductory BayesiaLab Course in Los Angeles
Learn the foundations of Probabilistic Graphical Models & Bayesian Networks and how to use them as a practical research framework with the BayesiaLab software platform.
This course is part of a week-long program preceding the 2nd Annual BayesiaLab User Conference at UCLA (separate registration required).
When? September 16-18, 2014, 9 to 5 pm each day.
Where? UCLA, Carnesale Commons, Hermosa Room, 251 Charles E Young Dr West, Los Angeles, CA 90095;
Who? Dr. Lionel Jouffe, CEO of Bayesia, will teach this 3-day course.
What? 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? The course will be taught at a beginner level, so no prior knowledge of Bayesian networks is necessary. However, undergraduate-level familiarity with probability theory and statistics is recommended.
Tems & Conditions
- The tuition fee for all 3-day courses for commercial participants is US$ 2,995.
- Members of government agencies, the military and non-profit organizations are eligible for a reduced tuition fee of US$ 2,245 (≈25% discount).*
- Student and faculty of accredited academic institutions are eligible for a reduced tuition fee of US$ 1,495 (50% discount).*
- A 60-day license to the full version of BayesiaLab Professional Edition will be provided to all participants for installation on their computers prior to the event.
- Participants will be required to bring their own WiFi-enabled computer/laptop to the seminar (Windows XP/Vista/7/8 or Mac OS X).
- The course fee includes all training materials.
- Accommodation is at the participants' own expense.
- *Proof of affiliation will be required upon registration.
Location & Venue
UCLA, Carnesale Commons, 251 Charles E Young Dr West, Los Angeles, CA 90095