Machine Learning Interview Questions

Which option is more likely to lead to overfitting a model? Increasing the amount of training data, reducing the number of nodes in the hidden layers of a neural network, removing sparse or infrequent features, or changing from a linear kernel to a Gaussian or RBF kernel in SVM?

Can you describe a forecasting model you created that did not align with actual outcomes?

Share an experience when you implemented a machine-learning model in a production setting. How did your offline model integrate with the production environment? What tools did you utilize?

Capital One

Share an experience where you had to collaborate with a challenging team member in a research environment.

Provide an example of a scenario suitable for batch processing and another scenario that requires real-time predictions.

Amazon

Share details about a machine learning project you were involved in. What were the results?

What distinguishes batch predictions from real-time predictions?

Describe linear regression in a way that is easy for a non-technical stakeholder to understand.

Explain the functioning of random forests. What does the term "ensemble method" refer to?

Explain how a decision tree splits.