Course description
Graphical Models Certification Training
Graphical Models Course is designed to teach Graphical Models, fundamentals of Graphical Models, Probabilistic Theories, Types of Graphical Models – Bayesian (Directed) and Markov’s (Undirected) Networks, Representation of Bayesian and Markov’s Networks, Concepts related to Bayesian and Markov’s Networks, Decision Making – theories and assumption, Inference and Learning in Graphical Models.
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Who should attend?
Required Pre-requisites
- Knowledge on Probability theories, statistics, Python, and Fundamentals of AI and ML
Edureka offers you complimentary self-paced courses
- Statistics and Machine learning algorithms
- Python Essentials
Certification / Credits
Towards the end of the course, Edureka certifies you as a "Graphical Models Professional" based on the project you submit.
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