Machine Learning
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Bias-Variance Tradeoff
Quick Definition
The tension between model simplicity and complexity errors
Full Definition
The tension between model error from oversimplifying bias and error from overfitting variance.
Examples
model selection, ensemble methods, hyperparameter tuning
Related Terms
overfitting
underfitting
model-complexity
More Machine Learning Terms
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Regularized regression using L1 penalty for feature selection
XGBoost
Optimized gradient boosting library for structured data
Kernel Trick
Transforming data to higher dimensions for linear separability
Machine Learning
AI subset where systems learn patterns from data
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Self-supervised learning by contrasting data pairs
Precision Recall
Metrics measuring positive prediction quality and coverage