Machine Learning
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Bayesian Optimization
Quick Definition
Optimizing expensive functions using a probabilistic model
Full Definition
A strategy for optimizing expensive functions using a probabilistic surrogate model.
Examples
hyperparameter tuning, experimental design, NAS
Related Terms
hyperparameter-tuning
gaussian-process
More Machine Learning Terms
Learning Rate
Hyperparameter controlling gradient descent step size
LightGBM
Fast gradient boosting framework using histogram splitting
Dropout
Regularization randomly deactivating neurons during training
Ensemble Learning
Combining multiple models for better predictions
DBSCAN
Density-based clustering finding clusters of varying shapes
Model Selection
Choosing the best ML model from candidates