Common Interview Questions for Machine Learning Roles

What are some common interview questions for machine learning roles?

Some common questions include: 1. What is overfitting? 2. Explain the bias-variance tradeoff. 3. How do you handle missing data?

Can you explain overfitting?

Overfitting occurs when a model learns the training data too well, capturing noise instead of the underlying pattern, leading to poor performance on unseen data.

What techniques can I use to prevent overfitting?

You can use techniques like cross-validation, regularization (L1 and L2), pruning in decision trees, and dropout in neural networks.

What is the bias-variance tradeoff?

The bias-variance tradeoff is the balance between a model's ability to minimize bias (error due to assumptions) and variance (error due to sensitivity to fluctuations in the training set).