LiveRamp Machine Learning Engineer interview questions.

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52 LiveRamp Machine Learning Engineer questions
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52 questions for LiveRamp Machine Learning Engineer

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ML Knowledge

3 months ago

When might overfitting and underfitting occur in a real-world setting? What are some of the effects these occurrences can have on model accuracy and performance?

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3 months ago

Coding

a year ago

Could you devise a method to flip a string's characters?

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a year ago

ML Knowledge

a year ago

Differentiate between RNN and LSTM.

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a year ago

ML Knowledge

a year ago

From your perspective, why is it important to focus on feature selection in the field of machine learning?

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a year ago

Coding

a year ago

Could you draft a Python code that sets up a hash table?

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a year ago

Coding

2 years ago

What's your approach to coding a six-sided dice roll and ensuring that it's unbiased?

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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

How do you handle skewed data when evaluating model performance, and what are some common metrics used in such cases?

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2 years ago

ML Knowledge

2 years ago

How would you explain an ROC curve to a non-technical stakeholder? In what situations would you prefer bagging over boosting?

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2 years ago

Coding

2 years ago

Can you devise a method to transform a character array from a minesweeper grid into an integer array of adjacent mine counts?

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2 years ago

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