A user on the r/MachineLearning subreddit is inquiring about the current relevance of Hidden Markov Models (HMMs) for unsupervised data exploration and discovery. They are seeking to understand if more contemporary methods, particularly those based on deep learning, have rendered HMMs obsolete for tasks involving unstructured, unannotated data. AI
RANK_REASON User question about the relevance of a specific ML technique.
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