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What are the different methods for Sequential Supervised Learning?
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Answer / Vivek Tripathi
Sequential supervised learning methods include Hidden Markov Models (HMM), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Conditional Restricted Boltzmann Machines (CRBM). These methods are used to handle sequential data where the order of instances is important.
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