•1 min read•from Machine Learning
Are HMMs still used for unsupervised tasks? [D]
I'm exploring Hidden Markov Models (HMMs) as a baseline method for "dataset exploration/discovery" where I have a bunch of unstructured data with no annotations, and wish to gain insights about the structure and semantics of the data within. I was wondering if there are more modern (deep learning based or otherwise) approaches which have completely superseded HMMs for such tasks.
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Tagged with
#Hidden Markov Models
#HMMs
#Unsupervised Learning
#Dataset Exploration
#Dataset Discovery
#Unstructured Data
#Machine Learning
#Deep Learning
#Baseline Method
#Data Semantics
#Data Structure
#Annotations
#Insights
#Modern Approaches
#Superceded
#Sequence Modeling
#Statistical Modeling
#Algorithm
#Exploration