Tata Technologies Machine Learning Engineer Interview Questions and Answers

Bias-variance trade off is the balance between underfitting (high bias) and overfitting (high variance) in machine learning models.

• Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.

• Variance refers to the model's sensitivity to fluctuations in the training data, leading to overfitting.

• Finding the right balance between bias and variance is crucial for creating a model that...read more