Machine Learning: Bias VS Variance

The video tutorial discusses the importance of balancing bias and variance in machine learning models. It explains supervised learning, the bias-variance tradeoff, and how model complexity affects performance. Techniques like regularization are introduced to optimize models and prevent overfitting or underfitting.

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