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Featured Courses

  • Probabilistic Graphical Models BDAI_graphicalmodels
    • M.Sc.|MBA|Micro-Degree
    • BDAI_graphicalmodels
    • Starts:
    • This course provides an introduction to probabilistic graphical models (PGMs), a framework that unifies probability theory and graph theory to describe and reason about complex systems with uncertainty. Students will explore different types of PGMs, including Bayesian networks and Markov random fields, and learn how to apply them in data analysis, machine learning, and decision-making. The course emphasizes both theoretical foundations and practical modeling skills.
  • Machine Learning and Analytics BDAI_dataanalytics
    • M.Sc.|MBA|Micro Degree
    • BDAI_dataanalytics
    • Starts:
    • Big data drives decision-making with machine learning and data analytics. This course explores sub-symbolic systems like regression, discrimination, decision trees, neural networks, and SVMs. Students learn data harmonization, pipelines, and AI problem-solving strategies.
  • Data Analytics and Decision-Making BDAI_machinelearning
    • M.Sc.|MBA|Micro-Degree
    • BDAI_machinelearning
    • Starts:
    • This module teaches advanced data analysis for decision-making. Students learn to differentiate between descriptive, diagnostic, predictive, and prescriptive analytics and their business applications. It covers theoretical concepts and practical approaches to objective analysis and decision-making.
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