Machine Learning
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Semi-Supervised Learning
Quick Definition
Combining small labeled datasets with large unlabeled data
Full Definition
Combining a small amount of labeled data with a large amount of unlabeled data during training.
Examples
medical image analysis, speech recognition, web classification
Related Terms
supervised-learning
unsupervised-learning
More Machine Learning Terms
Cross-Validation
Evaluating model performance with multiple data splits
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Machine Learning
AI subset where systems learn patterns from data
Underfitting
When a model is too simple to capture data patterns
Lasso Regression
Regularized regression using L1 penalty for feature selection
CatBoost
Gradient boosting library with native categorical feature support