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
UMAP
Fast dimensionality reduction preserving local and global structure
ROC Curve
Plot showing classifier performance across thresholds
Lasso Regression
Regularized regression using L1 penalty for feature selection
Overfitting
When a model learns training data noise and fails on new data
Active Learning
Algorithm selecting most informative data points for labeling