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
Overfitting
When a model learns training data noise and fails on new data
Backpropagation
Algorithm computing gradients for neural network weight updates
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Cross-Validation
Evaluating model performance with multiple data splits
Loss Function
Math function measuring prediction vs actual value difference