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
DBSCAN
Density-based clustering finding clusters of varying shapes
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
ROC Curve
Plot showing classifier performance across thresholds
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Underfitting
When a model is too simple to capture data patterns