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ML Knowledge
2 years ago
Do decision trees have any limitations when it comes to handling large or complex datasets?
Machine Learning Engineer

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Airbnb

Course Hero

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2 years ago
System Design
2 years ago
Create a distributed task scheduling platform.
Machine Learning Engineer

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2 years ago
ML Knowledge
2 years ago
How would you define a Neural Network and describe how it functions?
Machine Learning EngineerData Scientist

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SeatGeek Logo

SeatGeek

Productboard Logo

Productboard

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2 years ago
Coding
2 years ago
Given a tree, find the maximum sum path through the root and return its sum.
Machine Learning Engineer

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Spotify Logo

Spotify

Roku Logo

Roku

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2 years ago
System Design
2 years ago
Build a system for analyzing sentiment in social media posts in real-time.
Machine Learning Engineer

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2 years ago
Coding
2 years ago
How would you approach programming Conway's Game of Life in Python?
Machine Learning Engineer

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Workday Logo

Workday

Cloudera Logo

Cloudera

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2 years ago
ML System DesignProduct CaseML Case
2 years ago
Could you share your approach to developing a demand forecasting model for a ride-sharing service? What data sources and factors would you consider in this process?
Machine Learning Engineer

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Dropbox Logo

Dropbox

Shopee Logo

Shopee

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2 years ago
System Design
2 years ago
Develop a system to provide personalized product recommendations.
Machine Learning Engineer

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2 years ago
Coding
2 years ago
How can you simulate 1000 normally distributed data points with mean=x and variance=y in R, summarize the statistics, and create a density plot? Additionally, replicate this task in Python on the Codility editor.
Machine Learning Engineer

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Peek Logo

Peek

Bloomberg Logo

Bloomberg

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2 years ago
System Design
2 years ago
Develop a real-time processing engine for IoT devices.
Machine Learning Engineer

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2 years ago

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

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