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
Markov Chain
Stochastic model where events depend only on previous state
Imbalanced Learning
Handling datasets with unequal class distributions
Bagging
Training models on random subsets and averaging predictions
Clustering
Grouping similar data points based on feature similarity
Cross-Validation
Evaluating model performance with multiple data splits
Regularization
Techniques constraining model complexity to prevent overfitting