Machine Learning
277 views
Gaussian Mixture Model
Quick Definition
Probabilistic model using multiple Gaussian distributions
Full Definition
A probabilistic model assuming data is generated from a mixture of several Gaussian distributions with unknown parameters.
Examples
clustering, density estimation, anomaly detection
Related Terms
clustering
unsupervised-learning
More Machine Learning Terms
Hidden Markov Model
Statistical model with hidden states and observable outputs
Overfitting
When a model learns training data noise and fails on new data
Learning Rate
Hyperparameter controlling gradient descent step size
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Machine Learning
AI subset where systems learn patterns from data
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors