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
Active Learning
Algorithm selecting most informative data points for labeling
A/B Testing
Statistical method comparing two versions for performance
Confusion Matrix
Table visualizing classifier performance by class predictions
Regularization
Techniques constraining model complexity to prevent overfitting
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
LightGBM
Fast gradient boosting framework using histogram splitting