Machine Learning
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Data Augmentation
Quick Definition
Artificially increasing training data through modified copies
Full Definition
Artificially increasing training data size by creating modified copies of existing data.
Examples
image flipping, text paraphrasing, SMOTE for imbalanced data
Related Terms
overfitting
transfer-learning
deep-learning
More Machine Learning Terms
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Dropout
Regularization randomly deactivating neurons during training
Regularization
Techniques constraining model complexity to prevent overfitting
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
ROC Curve
Plot showing classifier performance across thresholds
Feature Engineering
Creating and transforming input variables to improve performance