€1,250 – €2,490

3-Day Advanced Course in London: Artificial Intelligence with Bayesian Netw...

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Location

CCT Venues-Barbican

135-137 Aldersgate St

London

EC1A 4JA

United Kingdom

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Refund Policy

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Refunds up to 7 days before event

Event description

Description

Take your BayesiaLab certification to the next level by joining the advanced BayesiaLab course. Completing this course brings you to the leading edge of applied research with Bayesian networks. Dr. Lionel Jouffe, CEO of Bayesia, will teach this three-day course.

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 Overview

  • Manual Modeling with BEKEE
  • Probability Table Analysis
  • Parameter Sensitivity Analysis
  • Function Nodes
  • Influence Diagrams
  • Dynamic Bayesian Networks
  • Bayesian Updating
  • Discretization of the Continuous Variables
  • Aggregation of the Discrete States
  • Missing Values Processing
  • Synthesis of New Variables (Manual Synthesis and Data Clustering)
  • Fine-Tuning of Learning Algorithms
  • Evidence Analysis
  • Target Optimization
  • Contribution Analysis
  • Negative and Disjunctive Inference
  • Evidence Instantiation and Evidence Data Weighting

Please see the BayesiaLab Library for a more detailed description of the course content.

About the Instructor

Dr. Lionel Jouffe is co-founder and CEO of France-based Bayesia S.A.S. Lionel holds a Ph.D. in Computer Science from the University of Rennes and has been working in the field of Artificial Intelligence since the early 1990s. While working as a Professor/Researcher at ESIEA, Lionel started exploring the potential of Bayesian networks. After co-founding Bayesia in 2001, he and his team have been working full-time on the development BayesiaLab, which has since emerged as the leading software package for knowledge discovery, data mining and knowledge modeling using Bayesian networks. BayesiaLab enjoys broad acceptance in academic communities as well as in business and industry.

Who should attend?

Applied researchers, statisticians, data scientists, data miners, decision scientists, biologists, ecologists, environmental scientists, epidemiologists, predictive modelers, econometricians, economists, market researchers, knowledge managers, marketing scientists, operations researchers, social scientists, students and teachers in related fields.

What's required?

  • We strongly recommend the 3-Day Introductory Course prior this advanced course.


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Date and Time

Location

CCT Venues-Barbican

135-137 Aldersgate St

London

EC1A 4JA

United Kingdom

View Map

Refund Policy

Refunds up to 7 days before event

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