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
Kernel Trick
Transforming data to higher dimensions for linear separability
Overfitting
When a model learns training data noise and fails on new data
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Regularization
Techniques constraining model complexity to prevent overfitting
PCA
Statistical technique reducing dimensionality via principal components
Model Selection
Choosing the best ML model from candidates