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What is Decision Networks?

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Decision networks, also known as Probabilistic Graphical Models, are a type of AI model that represents uncertain knowledge using a graph structure. Decision Networks enable reasoning under uncertainty and can be used for tasks such as decision-making, risk assessment, and planning.

Other Definitions

Probabilistic Graphical Models

Probabilistic Graphical Models is a type of statistical model used in Machine Learning and Artificial Intelligence. They represent complex relationships between variables through graphs…

Decision Trees

Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…

Edge Computing

Edge Computing brings computing resources closer to the source of data generation, reducing latency and improving response times. By processing and analysing data locally…

Bayesian Networks

Bayesian networks are Probabilistic Graphical Models that represent and evaluate uncertainty and conditional dependencies between variables. Industries such as healthcare and finance use Bayesian…
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