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Are Hidden Markov Models still relevant for unsupervised learning?

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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Are Hidden Markov Models still relevant for unsupervised learning?

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User question about the relevance of a specific ML technique.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/fullgoopy_alchemist ·

    Are HMMs still used for unsupervised tasks? [D]

    <!-- SC_OFF --><div class="md"><p>I'm exploring Hidden Markov Models (HMMs) as a baseline method for &quot;dataset exploration/discovery&quot; where I have a bunch of unstructured data with no annotations, and wish to gain insights about the structure and semantics of the data wi…