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ML Knowledge
4 years ago
What was your approach to removing multicollinearity from your predictive models?
Machine Learning Engineer

Verizon

Airbnb

Palo Alto Networks

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4 years ago
ML Knowledge
4 years ago
Can you list some of the differences between SVM and Random Forest?
Machine Learning Engineer

Verizon

Boeing Logo

Boeing

Thumbtack Logo

Thumbtack

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4 years ago
Coding
4 years ago
What process would you follow to systematically decode a string with several layers of nested parentheses?
Machine Learning Engineer

Verizon

Mapbox Logo

Mapbox

LiveRamp Logo

LiveRamp

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4 years ago
ML KnowledgeML Case
4 years ago
Can we consider R-square to be an all-encompassing measure for linear regression model accuracy? When faced with a low R-square measurement, how do you assess the adequacy of the regression model?
Machine Learning Engineer

Verizon

Red Hat Logo

Red Hat

Peek Logo

Peek

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4 years ago
Coding
4 years ago
Could you code a function to calculate the root mean squared error between two arrays?
Machine Learning EngineerData Scientist

Verizon

Bloomberg Logo

Bloomberg

Wise Logo

Wise

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4 years ago
Coding
4 years ago
Can you tell me which words make blanagrams from punishments and nine thumps?
Machine Learning Engineer

Verizon

Tinder Logo

Tinder

Snowflake Logo

Snowflake

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4 years ago
ML Knowledge
4 years ago
How is information theory utilized in the assessment of language models, and can you illustrate its use with a comparative model evaluation?
Machine Learning Engineer

Verizon

Cleo Logo

Cleo

SAP Logo

SAP

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4 years ago

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

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