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
Feature Engineering
Creating and transforming input variables to improve performance
Kernel Trick
Transforming data to higher dimensions for linear separability
Precision Recall
Metrics measuring positive prediction quality and coverage
Learning Rate
Hyperparameter controlling gradient descent step size
Margin
Distance between decision boundary and nearest data points
Backpropagation
Algorithm computing gradients for neural network weight updates