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ML Knowledge
3 years ago
Explain the contrast between L1 and L2 regularization methods in regression analysis, and the reason for selecting one approach over the other.
Machine Learning Engineer

Wealthfront

Expedia

Ubisoft

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3 years ago
ML Knowledge
3 years ago
What are the benefits and drawbacks of incorporating decision trees into a machine learning model?
Machine Learning Engineer

Wealthfront

Airbnb Logo

Airbnb

Course Hero Logo

Course Hero

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3 years ago
Coding
3 years ago
Can you compose a function that takes in two arrays and outputs the RMSE?
Machine Learning EngineerData Scientist

Wealthfront

Bloomberg Logo

Bloomberg

Wise Logo

Wise

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3 years ago
Coding
3 years ago
What algorithm would you implement to find all anagram counterparts of a given string?
Machine Learning Engineer

Wealthfront

ClassPass Logo

ClassPass

Bloomberg Logo

Bloomberg

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3 years ago
ML Knowledge
3 years ago
Could you discuss some common methods used in Time Series Forecasting?
Machine Learning Engineer

Wealthfront

Faire Logo

Faire

Amadeus Logo

Amadeus

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3 years ago
ML Knowledge
3 years ago
How is log loss used as a performance metric in machine learning?
Machine Learning EngineerData Scientist

Wealthfront

Datadog Logo

Datadog

DocuSign Logo

DocuSign

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3 years ago
ML CaseProduct Case
3 years ago
How do you quantify the factors affecting the ride requests of the company?
Machine Learning Engineer

Wealthfront

Blend Logo

Blend

Reddit Logo

Reddit

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3 years ago
System Design
3 years ago
Design a distributed rate limiter.
Machine Learning Engineer

Wealthfront

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3 years ago
System Design
3 years ago
Design a music streaming service like Spotify.
Machine Learning Engineer

Wealthfront

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3 years ago
ML Knowledge
3 years ago
What are some techniques you use to effectively share the insights of machine learning with stakeholders?
Machine Learning Engineer

Wealthfront

Wattpad Logo

Wattpad

Tinder Logo

Tinder

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3 years ago

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

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