Pluralsight Machine Learning Engineer interview questions.

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64 Pluralsight Machine Learning Engineer questions
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64 questions for Pluralsight Machine Learning Engineer

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Role

Company

Coding

2 months ago

How do you go about using a greedy algorithm to find the minimal subarray with a sum no less than a target?

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2 months ago

Coding

4 months ago

Would you be able to script a binary search function to identify the maximum value in a list of integers?

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4 months ago

ML System Design

4 months ago

Tell me about the architecture you would create for Bing's image search functionality.

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4 months ago

ML Knowledge

7 months ago

Could you outline the distinctions between neural networks and support vector machines in terms of their usage? What kinds of problems are they ideally suited for solving?

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7 months ago

Coding

8 months ago

Can you describe a process for determining the dot product of two sparse matrices?

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8 months ago

ML Knowledge

a year ago

Can you discuss the concept of bootstrapping and your view on its application for sample size enhancement?

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a year ago

ML Knowledge

a year ago

What can you tell me about log loss and its relevance in statistical models?

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a year ago

ML Knowledge

a year ago

Can you describe the difference between L1 and L2 regularization techniques in regression analysis and why it's plausible to select one over the other?

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a year ago

ML Knowledge

a year ago

In simple terms, what does the Random Forest algorithm do, and why is it useful?

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a year ago

Coding

2 years ago

How do you generate a normally distributed dataset of 1000 points with specified mean and variance in R, conduct a summary analysis, and draw a density plot? Also, show how to accomplish this in Python on Codility.

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2 years ago

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