Machine Learning
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Hidden Markov Model
Quick Definition
Statistical model with hidden states and observable outputs
Full Definition
A statistical model where the system state is hidden but observable through emitted symbols with probabilistic transitions.
Examples
speech recognition, bioinformatics, POS tagging
Related Terms
markov-chain
sequence-modeling
More Machine Learning Terms
Active Learning
Algorithm selecting most informative data points for labeling
Backpropagation
Algorithm computing gradients for neural network weight updates
Feature Engineering
Creating and transforming input variables to improve performance
Decision Tree
Tree-like model splitting data based on feature values
Precision Recall
Metrics measuring positive prediction quality and coverage
CatBoost
Gradient boosting library with native categorical feature support