Machine Learning
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Hyperparameter Tuning
Quick Definition
Finding optimal configuration values before training
Full Definition
Finding optimal configuration values set before model training using search strategies.
Examples
grid search, random search, Bayesian optimization
Related Terms
cross-validation
model-selection
More Machine Learning Terms
Cross-Validation
Evaluating model performance with multiple data splits
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Survival Analysis
Statistical methods analyzing time until an event occurs
Autoencoder
Neural network learning compressed data representations
K-Means
Partitioning data into k clusters by updating centroids
Online Learning
Updating models incrementally as new data arrives