Training in bayesian networks

Discover a revolutionary technology and develop your teams' skills

Bayesia offers intra-company or inter-company training programmes in bayesian networks.

 The next training session will take place in Paris on October 20 and 21.

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Training set up

• Teaching objectives : Training in bayesian probabilistic methods
• Length: 2 days (inter-company) / 3 days (intra-company)
• Teaching methods : Essays and practical work on developing models
• Public addressed : Minimum level: BAC+2 (A-levels+2)
• Trainer : Dr Lionel Jouffe, Doctor of science (BAC+8), with teaching experience in higher education.

Training programme

1. General tutorial on bayesian networks
   • Introduction including examples of probabilistic reasoning
   • Reminders of the probability theory
   • Formalism of bayesian networks
   • Real application examples
2. Practical exercises using bayesian networks to model knowledge
3. Tutorial technique on bayesian networks
   • Learning
   • Assessment
   • Analysis
   • Extensions (diagram of influence, dynamic bayesian networks)
4. Development of bayesian networks through automatic learning (data analysis and data mining)