Machine Learning
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Polynomial Regression
Quick Definition
Extending linear models with polynomial features for nonlinear data
Full Definition
A regression technique extending linear models by adding polynomial features to capture nonlinear relationships.
Examples
curve fitting, nonlinear trend modeling, feature interaction
Related Terms
linear-regression
regression
feature-engineering
More Machine Learning Terms
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
Cross-Validation
Evaluating model performance with multiple data splits
Regularization
Techniques constraining model complexity to prevent overfitting
ARIMA
Statistical model for time series analysis and forecasting
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data