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
Data Augmentation
Artificially increasing training data through modified copies
Contrastive Learning
Self-supervised learning by contrasting data pairs
Dropout
Regularization randomly deactivating neurons during training
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
LightGBM
Fast gradient boosting framework using histogram splitting
Multi-Task Learning
Training one model for multiple related tasks simultaneously