From: https://towardsdatascience.com/generative-vs-2528de43a836 Generative and discriminative models are widely used machine learning models. For example, Logistic Regression, Support Vector Machine and Conditional Random Fields are popular discriminative models; Naive Bayes, Bayesian Networks and Hidden Markov models are commonly used generative models. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains … Continue reading Generative vs Discriminative Probabilistic Graphical Models →