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Training Sessions on Data Mining, Knowledge Modeling, and Causal analysis with Bayesian Belief Networks
Discover a revolutionary technology and develop your teams' skills
Bayesia holds intra-company or inter-company training sessions in Bayesian Belief Networks.
The next inter-company training sessions will take place in
- Paris, France, January 17-19 (in French)
- Orlando, FL, USA, February 13-15 (right before the ASA Conference on Statistical Practice)
- Paris, France, March 20-22 (in French)
- Orange County, CA, USA, April 18-20 (right after the INFORMS Conference on Business Analytics & O.R.)
- Paris, France, June 19-21 (in French)
- Toronto, Canada, July 17-19
- Paris, France, September 25-27 (in French)
- San Jose, CA, USA, October (to be held in conjunction with the 2012 Data Mining Camp)
Contact us for registering or for requesting additional information »
Training Overview
- Teaching objectives: Comprehensive understanding of the Bayesian network paradigm plus practical skills for real-world research applications
- Length: 3 days
- Teaching methods: Tutorials with practical exercises using BayesiaLab plus plenty of one-on-one coaching
- Trainer: Dr. Lionel Jouffe, CEO, Bayesia SAS.
- Training materials: A printed tutorial (approx. 300 slides in two binders), plus a memory stick containing numerous exercises and white papers
- Bayesian network Software: Bayesia provides all trainees with an unrestricted 60-day license of BayesiaLab 5.0 Professional Edition, so they can participate in all exercises on their own laptops
- Cost: 2100 Euros/Trainee. Discounts are available for groups of trainees of the same company. A special academic discount of 50% is also available for students and teachers of accredited educational institutions. The fee includes all training materials, lunch and refreshments.
- Registration: The registration is complete upon payment of the fee by Bank Transfer, or Credit Cards (Mastercard, Visa, or Carte Bleue), in Euros.
Training Program
- General tutorial on bayesian networks
- Examples of probabilistic reasoning
- Recap of basics of probability theory
- Formalism and semantics of Bayesian networks
- Real-world application examples
- Practical exercises in knowledge modeling
- Technical tutorial on Bayesian networks
- Network learning (supervised learning, unsupervised learning, data clustering, variable clustering, Probabilistic Structural Equation Models)
- Performance evaluation
- Analysis and simulation
- Extensions (influence diagram, dynamic Bayesian networks)
- Practical data mining and analytics exercises
Practical Information
- Schedule:
- First two days: 9am -- 5pm
- Last day: 8:30am – 3:30 pm (to accommodate those who have late-afternoon departures)
- Meals: Coffee, tea and snacks will be provided in the morning and the afternoon.
- First two days: We typically go out for lunch as a group to one of the nearby restaurants, but anybody should feel free to have lunch on their own.
- Last day: A working lunch (e.g. sandwiches or pizza) will be provided in the seminar room.
- Computers: Each trainee should come with his own laptop. Two emails will be sent a few days before the training session for downloading and activating the unrestricted 60-day license of BayesiaLab 5.0 Professional Edition. Note that Admin rights are needed to proceed to the installation.
- Data: Trainees are encouraged to bring their own datasets
Testimonials
"The Bayesia training session was one of the most valuable and thoughtful I have ever attended. Dr. Jouffe did an admirable job introducing and explaining Bayesian Belief Networks, an area of predictive modeling that is of rapidly increasing importance in many fields. The course adroitly mixed practical applications, case histories, and key concepts and theory, explaining the uses and remarkable power of these models. The approach was always informative and engaging, and included the best set of presentation materials I have encountered in a long time. This is a truly worthwhile course, and it also introduced a remarkable piece of analytical software. I speak as somebody who has given seminars and taught graduate courses for over twenty years; this session definitely deserves the highest praise."
Steven Struhl
Principal at SMS Research Analysis (USA)
Training session: New York, November 2009
"Attend, attend, attend! The training was well done allowing for both hands-on using BayesiaLab but also exploration of the Bayesian approach. Lionel was a great teacher – to have the brain behind the product guiding you was indeed amazing, no question went unanswered."
Yianna Vovides
Director, Instructional Design at The George Washington University (USA)
Training session: New York, November 2009
"Bayesian Belief Networks is an advanced technique and BayesiaLab makes such a complex technique easy to use on fingertips. Without any prior knowledge I had attended the BayesiaLab Training in Chicago, April 2011 and found it very helpful & worth the money paid. The course structure / contents were well planned and by the end of the course I felt satisfied & had sense of mission accomplished. Dr. Jouffe has excellent teaching skills & in his training session there were several Q&A opportunities all addressed with a smiling face."
Training session: Chicago, April 2011
"I enjoyed the training course in Chicago in April 2011. It was very interesting and very well organized. I learned a lot of new things and I got inspired for applications of BayesiaLab in my daily job. Finally the environment: very friendly and productive with the other attendees coming both from business and academic world, a really wonderful “melting pot”. A very exiting experience which I recommend to all people interested in Bayesian networks."
Tommaso Pronunzio
Partner at Ales Market Research (ITALY)
ESOMAR Representative
Training session: Chicago, April 2011
Training session: Los Angeles, June 2011