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Bias
Variance
Generalization
Overfitting
Underfitting
CrossValidation
Regularization

Explain the Bias-Variance trade-off in machine learning. How does it impact model performance, and what strategies can be employed to manage it?

machine learning
Intermediate Level

The bias-variance trade-off is a fundamental concept in machine learning that relates to the performance and generalization ability of a model.

Bias refers to the error introduced by approximating a real-world problem, which can arise from overly simplistic...