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
ARIMA
Statistical model for time series analysis and forecasting
Backpropagation
Algorithm computing gradients for neural network weight updates
UMAP
Fast dimensionality reduction preserving local and global structure
Dropout
Regularization randomly deactivating neurons during training
LightGBM
Fast gradient boosting framework using histogram splitting
Gradient Descent
Optimization algorithm minimizing loss by steepest descent