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What are the different methods of Sequential Supervised Learning?
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Answer / Pankaj Singh
"The methods of sequential supervised learning include Hidden Markov Models (HMM), Conditional Random Fields (CRF), and Recurrent Neural Networks (RNN). These approaches learn from sequences of data points, where the output at each time step depends on the current input and previous outputs."n
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