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Advanced BayesiaLab Course in the United Arab Emirates

March 9–11, 2020

 

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Three-Day Advanced Course in the United Arab Emirates: Artificial Intelligence with Bayesian Networks & BayesiaLab

United Arab Emirates University, Al-Ain, UAE
March 9–11, 2020, 9 a.m. to 5 p.m. (daily)

Take your BayesiaLab certification to the next level by joining the Advanced BayesiaLab course. This course gives you a broad view of what you can do with Bayesian networks. In the Advanced course, we study in more detail topics that are only quickly touched during the Introductory course:

  • Expert-Based Modeling with BEKEE
  • Discretization of Continuous Variables
  • Synthesis of New Variables (Manual Synthesis and Data Clustering)
  • Fine-Tuning of Learning Algorithms
  • Network Quality Evaluation
  • Target Optimization

But more importantly, we cover new topics, such as:

  • Parameter Sensitivity Analysis
  • Function Nodes
  • Influence Diagrams
  • Dynamic Bayesian Networks
  • Bayesian Updating
  • Aggregation of the Discrete States
  • Missing Values Processing
  • Credible/Confidence Intervals Analysis
  • Evidence Analysis
  • Function Optimization
  • Contribution Analysis

Note that we also have much more hands-on exercises than during the Introductory course given that you are already familiar with all the basic concepts. 

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.

Participants in the Advanced Course are required to have completed the Introductory Course on a previous date (see course calendar).

Participation Options & Registration

Course Details

Testimonials

"I would absolutely recommend this course as a thorough and in-depth introduction to Bayesian Networks and the BayesiaLab package. The small class sizes also contributed to an enjoyable and engaging learning experience."—Brian Potter, Infotools (Introductory Course in Melbourne, November 2015).

"This is one of the best trainings I have ever had! Perfect topic that opens so many opportunities in any domain you could think of. Software is amazing and very intuitive. Presenter is extremely knowledgeable, patient and friendly."—Vladimir Agajanov, Moody's (Introductory Course in New York, January 2016).

"Overall, this training was outstanding. Lionel is a gifted teacher, and it helps that you are showcasing a first rate product. BayesiaLab is the most intuitive and easy-to-use machine-learning software available. It's a first-rate investment."—Felix Elwert, PhD, Vilas Associate Professor of Sociology, University of Wisconsin-Madison (Introductory Course in Chicago, May 2014).

“A must-take course for anyone looking to leverage advanced Bayesian network techniques in virtually any domain.”Alex Cosmas, Chief Scientist, Booz Allen Hamilton (Introductory Course in Los Angeles, June 2011).

“The BayesiaLab software is impressive in its sophistication and multi-faceted abilities as a decision support tool. I had been using it primarily as a modeling tool for deductive analysis. Taking this class opened my eyes to BayesiaLab's incredible data-mining abilities. If you are looking for something that will provide a totally new angle on business decision problems, this is it!”Michael Ryall, PhD, Professor of Strategy and Economics, Rotman Business School, University of Toronto (Introductory Course in Chicago, July 2013).

"This class can only be described as eye-opening, the tool as terrific. Some of the best instruction for the shortest period of time I’ve ever received. A seriously terrific job.” Beau Martin, President of American Choice Modeling (Introductory Course in Chicago, July 2013).

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