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
Boosting
Sequentially combining weak learners correcting previous errors
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Cross-Validation
Evaluating model performance with multiple data splits
PCA
Statistical technique reducing dimensionality via principal components
Regularization
Techniques constraining model complexity to prevent overfitting
Lasso Regression
Regularized regression using L1 penalty for feature selection