Machine Learning
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Feature Selection
Quick Definition
Identifying the most relevant features for model training
Full Definition
Identifying the most relevant features from a dataset for use in model training.
Examples
recursive feature elimination, mutual information, L1 regularization
Related Terms
feature-engineering
dimensionality-reduction
More Machine Learning Terms
ARIMA
Statistical model for time series analysis and forecasting
Model Selection
Choosing the best ML model from candidates
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Random Forest
Ensemble of decision trees that votes on predictions
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
t-SNE
Nonlinear technique for visualizing high-dimensional data