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TRAINING COURSE IN BAYESIAN NETWORKS

Join us and discover the power to predict

General Course in Bayesian Networks

Our 3-day General Training Course in Bayesian Networks introduces Bayesian Network and influence diagram technology, and how it can be used to construct knowledge bases, build and deploy decision models and analyze model results.

Attendees work “hands-on” with HUGIN software, actively experimenting with its features and predictive capabilities and how to apply these to build models for discovery, analysis, prediction and decision-making in their chosen domain.

On-location training is available upon request. Contact HUGIN EXPERT for more information about on-location training possibilities course@hugin.com

Course Overview:

Day 1 – Bayesian networks
Introduction to Bayesian networks
Graph & probability theory
Bayesian networks in more detail
Programming using HUGIN Decision Engine
Modelling techniques for Bayesian networks

Day 2 – Bayesian networks and influence diagrams
Modelling techniques for Bayesian networks
Learning Bayesian networks from data
Decision and ttility theory
Influence diagrams & LIMIDs
Modelling techniques for influence diagrams

Day 3 – Object-oriented networks and methods of analysis
Object-oriented and dynamic networks
Data conflict analysis
Value of information analysis
Evidence sensitivity analysis
Parameter sensitivity analysis

Upcoming Training dates and locations:

Upcoming Training dates and locations:

  • May 29-31st, 2024 in Aalborg, Denmark

Registration (May): Download our training course registration form

Price: Standard: DKR 15.750/EURO 2120 Students/HUGIN users: DKR 9.450/EURO 1272

Intended participants:
Statisticians, researchers, analysts, and other problem solvers and domain experts who work with data discovery, machine learning, advanced analytics and predictive modelling, and would like to utilize their data more effectively to create advanced solutions for analysis and decision making.

Course material: A trial license to HUGIN Developer, USB with course slides and the book Bayesian Networks and Influence Diagrams – A Guide to Construction and Analysis, by Anders Madsen and Uffe B. Kjaerulff.

Knowledge Level: good computer and math skills and working knowledge of English, as the course is delivered in English. Participants are required to bring their own laptops.

Cancellations:
Course registration is binding. Cancellations cost 50% of course fee and must be received at least 14 days prior to start date. No refunds are given for cancellations received later than this.

Contact us at: course@hugin.com for registration or more information about HUGIN training or workshops.

Get started today! Download the FREE HUGIN Lite

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HUGIN EXPERT A/S | Gasværksvej 5 · DK-9000 Aalborg · DENMARK | + 45 96 55 07 90 | info@hugin.com | www.hugin.com
  • Products
    • HUGIN Development licenses
      • HUGIN Explorer
      • HUGIN Developer
      • HUGIN Educational
      • HUGIN Researcher
    • Services
      • Training
      • Online Training
      • Consultancy
      • HUGIN Support Pack
    • HUGIN Products
      • HUGIN FiNDR
      • HUGIN PredictIT
      • Free trial
    • HUGIN Download Links
      • Download Links
    • HUGIN Deployment license
      • HUGIN OEM
  • Solutions
    • BayesFraud
    • BayesAML
    • BayesCredit
  • Industry
  • Technology
  • Resources
  • About
    • COMPANY PROFILE
      • Team
      • Board
      • History
    • NEWS
      • News
      • Events
    • PARTNERS
      • Our partners
    • RESELLERS
      • Our resellers
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