Machine Learning
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Loss Function
Quick Definition
Math function measuring prediction vs actual value difference
Full Definition
A mathematical function measuring the difference between model predictions and actual target values.
Examples
cross-entropy, MSE, MAE, hinge loss, focal loss
Related Terms
gradient-descent
optimization
More Machine Learning Terms
Supervised Learning
Learning from labeled training data with input-output pairs
Hyperparameter Tuning
Finding optimal configuration values before training
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Machine Learning
AI subset where systems learn patterns from data
CatBoost
Gradient boosting library with native categorical feature support
Margin
Distance between decision boundary and nearest data points