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Machine Learning (AI and Data Science) A Factor Graph is a bipartite graph used to model the factorization of a […]

Machine Learning (AI and Data Science) A Markov Network is a type of probabilistic graphical model that represents the joint

Machine Learning (AI and Data Science) A Bayesian Network is a probabilistic graphical model that represents a set of variables

Machine Learning (AI and Data Science) Probabilistic Graphical Models (PGMs) are a powerful framework in artificial intelligence that use graph

Machine Learning (AI and Data Science) Variational Inference (VI) is a powerful statistical technique used in artificial intelligence to approximate

Machine Learning (AI and Data Science) Bayesian Inference is a statistical method that updates the probability of a hypothesis as

Machine Learning (AI and Data Science) Markov Chain Monte Carlo (MCMC) is a powerful class of algorithms used to sample

Machine Learning (AI and Data Science) Marmal refers to an emerging framework in the AI and Data Science sector designed

Machine Learning (AI and Data Science) Kernel Regression is a non-parametric statistical technique used to estimate the conditional expectation of

Machine Learning (AI and Data Science) A Gaussian Process (GP) is a powerful statistical framework used in machine learning to