Machine Learning Interview Questions

Review this list of 114 Machine Learning interview questions and answers verified by hiring managers and candidates.

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What's the importance of feature scaling and normalization? Has video answer
Explain transformers.
6 months ago
How would you build an object detection system to identify and locate flowers in images?
2 years ago1 answer
Explain training and testing data. Has video answer
Explain gradient descent. Has video answer
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What's the difference between classification and regression? Has video answer
What is XGBoost?
2 months ago
How do you ensure a deployed model remains up to date?
1 answer
Walk me through the roles on your AI project team and how you'd handle training an LLM on data that includes usernames and emails.
a year ago
How would you go about scoping improvements to the quality of a machine learning model?
8 months ago
Describe how the split in a decision tree works.
2 years ago1 answer
Tell me about a time when you worked with a difficult team member in a research setting.
3 years ago
Is the Mean Squared Error (MSE) a suitable cost function for a logistic regression model?
1 answer
Tell me about a machine learning project you worked on and its outcome.
3 years ago
Which is more likely to result in overfitting a model? More training data, decreased nodes in neural network hidden layers, eliminating sparse features, or using a Gaussian or RBF kernel in SVM?
1 answer
Tell me about a machine learning research topic you find interesting.
3 years ago
What is the significance of an area under the curve (AUC) equal to 0.5?
1 answer
Implement Markov chain.
3 months ago
How have you led teams at scale to improve models or algorithms post-training, especially using contractors?
a year ago
Describe how random forests work and explain what an ensemble method is.
1 answer

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Machine Learning Interview Questions

What's the importance of feature scaling and normalization? Has video answer

Explain transformers.

How would you build an object detection system to identify and locate flowers in images?

Explain training and testing data. Has video answer

Explain gradient descent. Has video answer

What's the difference between classification and regression? Has video answer

What is XGBoost?

How do you ensure a deployed model remains up to date?

Walk me through the roles on your AI project team and how you'd handle training an LLM on data that includes usernames and emails.

How would you go about scoping improvements to the quality of a machine learning model?

Describe how the split in a decision tree works.

Tell me about a time when you worked with a difficult team member in a research setting.

Is the Mean Squared Error (MSE) a suitable cost function for a logistic regression model?

Tell me about a machine learning project you worked on and its outcome.

Which is more likely to result in overfitting a model? More training data, decreased nodes in neural network hidden layers, eliminating sparse features, or using a Gaussian or RBF kernel in SVM?

Tell me about a machine learning research topic you find interesting.

What is the significance of an area under the curve (AUC) equal to 0.5?

Implement Markov chain.

How have you led teams at scale to improve models or algorithms post-training, especially using contractors?

Describe how random forests work and explain what an ensemble method is.

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