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Interview Practice Questions

1,600+ practice questions organized by topic, company tag, and difficulty.

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Showing 20 of 1635 questions

MediumComputer VisionCorsearch

Describe the embedding model training in more detail: architecture, data, and metrics.

ml-cv
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EasyComputer VisionCorsearch

What augmentations did you use when training the vision model?

ml-cv
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MediumComputer Vision

А как модели распознать физически, что картинки одинаковые?

general
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MediumComputer VisionInfomedia

From what you said, have you worked on both video computer vision tasks and more conventional computer vision tasks?

#ml#computer_vision
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MediumComputer VisionInfomedia

What tasks and projects are related to EVE (virtual reality)?

#ml#computer_vision
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MediumComputer Vision

Is there a model for first-person recognition?

#ml#computer_vision
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MediumComputer VisionInfomedia

Is the task about video pixelization?

#ml#computer_vision
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MediumComputer VisionInfomedia

Are first-person videos spherical videos?

#ml#computer_vision
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MediumComputer Vision

How to implement 2D to 3D video conversion using depth estimation and projections?

#ml#computer_vision
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MediumComputer Vision

How to implement AI Editor system for automatic video processing by moderators?

#ml#computer_vision
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MediumComputer VisionInfomedia

How to automatically cut VR video into short segments for TikTok?

#ml#computer_vision
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MediumComputer Vision

How to implement Outpainting for expanding video to spherical format?

#ml#computer_vision
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MediumComputer Vision

How to implement Six Degrees of Freedom for creating volumetric video from regular cameras?

#ml#computer_vision
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MediumComputer VisionZinBrains

What else do algorithms detect? What errors in images?

#ml#moderation#recommendation
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MediumComputer VisionZinBrains

How do you work with NSFW content in the product?

#ml#moderation#recommendation
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MediumComputer VisionConstructor

Can additional information be extracted from text and images?

#ml#ranking
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EasyML System Design

Design a system that will collect and store features for a machine learning model. Ensure that the system can handle 10 million records per day and must provide access to features with a latency of no more than 100 ms. The team consists of 3 members.

feature_storepipelinescalability
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MediumML System Design

Build a system for monitoring and alerting on data drift. The system should handle real-time data with a volume of 1 million events per day and must send alerts in case of drift detection with a delay of no more than 5 minutes. The budget is $5000 per month.

monitoringalertingdata_drift
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MediumML System Design

Design a system for experiment tracking using MLflow. The system should support up to 1000 concurrent experiments with a total database size of up to 500 GB and must provide access to results with a latency of no more than 10 seconds.

experiment_trackingmlflowscalability
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MediumML System Design

Build an A/B testing system capable of handling 5 million requests per day with two user groups. The system must collect and analyze user interaction data with a delay of no more than 1 hour and provide the ability to dynamically adjust tests.

ab_testinganalyticsscalability
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