What are some common machine learning interview questions?

What are some common machine learning interview questions?

Some common questions include: 1. What is overfitting? 2. Explain the bias-variance tradeoff. 3. What is cross-validation?

Can you explain overfitting?

Overfitting occurs when a model learns the training data too well, capturing noise instead of the underlying pattern.

What techniques can I use to prevent overfitting?

You can use techniques like regularization, pruning, and cross-validation to prevent overfitting.

What is cross-validation?

Cross-validation is a technique to assess how the results of a statistical analysis will generalize to an independent dataset.