EPAM Systems Machine Learning Engineer interview questions.

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46 EPAM Systems Machine Learning Engineer questions
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46 questions for EPAM Systems Machine Learning Engineer

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ML Knowledge

2 months ago

What is your take on feature selection in machine learning? Why is it so important to consider?

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2 months ago

ML Knowledge

4 months ago

Can you describe what log loss measures in a predictive model?

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4 months ago

Coding

4 months ago

Out of all the elements in this array, which one ranks in the 18th largest position?

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4 months ago

StatisticsML Knowledge

4 months ago

In what way do you understand the principles of Naive Bayes and determine the classification threshold?

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4 months ago

ML KnowledgeML Case

7 months ago

Describe the process of calculating Pi using the Monte Carlo technique.

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7 months ago

ML Knowledge

a year ago

How do you deal with binary classification datasets that are unevenly distributed, where one class dominates the other in terms of instance count?

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a year ago

ML Knowledge

a year ago

What is the meaning of bias-variance tradeoff in machine learning? Could you provide a real-life scenario where you have observed this tradeoff in a model's efficacy?

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a year ago

ML Knowledge

a year ago

How does an ROC curve assist in determining the threshold for a classification model? Can you discuss the trade-offs between bagging and boosting techniques?

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a year ago

ML Knowledge

2 years ago

How does the gradient boost algorithm function in the context of machine learning?

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2 years ago

ML Knowledge

3 years ago

What is the principle behind bootstrapping, and would you recommend using it to increase sample sizes?

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3 years ago

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