Chewy Machine Learning Engineer interview questions.

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57 Chewy Machine Learning Engineer questions
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57 questions for Chewy Machine Learning Engineer

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Role

Company

Coding

2 months ago

Can you create a code snippet that simulates rolling a fair die and explain how to test its fairness?

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2 months ago

Coding

2 months ago

Develop a function to simulate a normal distribution and provide a visual plot of it.,

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2 months ago

Coding

4 months ago

How would you construct a binary search function that isolates the largest number in a list of integers?

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4 months ago

Coding

5 months ago

Can you develop a code segment that extracts the longest palindrome from a string?

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5 months ago

ML Knowledge

6 months ago

Can you outline the challenges faced during the training of deep neural networks with several layers?

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6 months ago

ML Knowledge

7 months ago

Could you explain how the K-means and Expectation-Maximization (EM) algorithm differ in their approaches?

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7 months ago

ML Knowledge

a year ago

In your opinion, how crucial is feature selection when it comes to machine learning?

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a year ago

Coding

2 years ago

Can you specify an algorithm to identify fake news articles and provide a brief on its implementation?

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2 years ago

Coding

2 years ago

What's the procedure for producing 1000 normally distributed samples with mean=x and variance=y in R, conducting a summary statistical analysis, and graphing a density plot? Implement the equivalent in Python via the Codility online editor.

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2 years ago

ML Knowledge

2 years ago

What techniques do you apply to handle skewed data in model performance analysis, and what metrics are essential in these scenarios?

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2 years ago

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