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This video introduces conditional random fields and discusses how they compare to other classification models. The tutorial provides intuition behind their design, explains the equations used for classification and parameter training, and highlights the distinctions between various classification techniques such as Hidden Markov Models (HMMs), Naive Bayes, Logistic Regression, and Conditional Random Fields (CRFs). CRFs are commonly used in natural language processing for categorizing different types of classification techniques.
