Duolingo Machine Learning Engineer interview questions.

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50 Duolingo Machine Learning Engineer questions
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50 questions for Duolingo Machine Learning Engineer

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ML Knowledge

a month ago

What would you consider the primary challenges in training deep neural networks with many layers?

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a month ago

ML Knowledge

a month ago

Why do you think feature selection is a crucial component of machine learning?

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a month ago

Coding

5 months ago

Can you show a code snippet that inverts a binary tree in a programming language you are familiar with?

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5 months ago

ML Knowledge

8 months ago

What would you say are the key assumptions of linear regression, and why are they vital considerations for the accurate interpretation of research outcomes?

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8 months ago

ML KnowledgeML Case

a year ago

Estimate the value of Pi using Monte Carlo Algorithm

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a year ago

ML Knowledge

a year ago

How do precision and recall differ from each other, and how can they help in assessing the effectiveness of machine learning models? What are some limitations of these metrics that you should be aware of?

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a year ago

ML Knowledge

2 years ago

When considering the vanishing gradient issue, does ReLU or sigmoid provide a more effective remedy?

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2 years ago

ML Knowledge

2 years ago

What role does the assumption of error play in ensuring accurate linear regression models, and why is it critical to consider?

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2 years ago

ML Knowledge

2 years ago

In what ways do the K-means algorithm and the Expectation-Maximization (EM) algorithm differ?

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2 years ago

ML Knowledge

2 years ago

What are overfitting and underfitting in machine learning? Why are they crucial factors to consider when developing models?

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2 years ago

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^*All interview questions are submitted by recent Duolingo Machine Learning Engineer candidates, labelled and categorized by Prepfully, and then published after being verified by Machine Learning Engineers at Duolingo.