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ML Knowledge

3 years ago

What causes the curse of dimensionality in large datasets, and how might you mitigate it?

Machine Learning Engineer

DoorDash

SAP

Peek

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3 years ago

Product CaseML Case

3 years ago

What architecture would you propose for a recommendation engine that adapts to a user's musical preferences, and how would you integrate their listening traits?

Machine Learning Engineer

DoorDash

Square

StubHub

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3 years ago

ML Knowledge

3 years ago

Can you describe how a bounding box regressor functions within object detection models?

Machine Learning Engineer

DoorDash

Google

Venmo

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3 years ago

ML Knowledge

3 years ago

In a machine learning problem, if you have a high-dimensional dataset, how would you go about handling it?

Machine Learning Engineer

DoorDash

Marqeta

Airtable

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3 years ago

System Design

3 years ago

Design a system for real-time weather data processing.

Machine Learning Engineer

DoorDash

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3 years ago

Coding

3 years ago

How do you use Python to determine confidence intervals for a mean?

Machine Learning Engineer

DoorDash

Apple

Mailchimp

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3 years ago

ML Knowledge

3 years ago

How do you describe the BERT model's functionality and its advantages? Additionally, illustrate and discuss its structure.

Machine Learning Engineer

DoorDash

Amazon Web Services

Asana

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3 years ago

ML Knowledge

3 years ago

In which real-world scenarios do overfitting and underfitting tend to occur? How do these occurrences affect the accuracy and performance of the model?

Machine Learning Engineer

DoorDash

Fitbit

Zillow

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3 years ago

System Design

3 years ago

Design an e-commerce website like Amazon.

Machine Learning Engineer

DoorDash

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3 years ago

ML Knowledge

3 years ago

How does DBSCAN differ from other clustering algorithms?

Machine Learning Engineer

DoorDash

Groupon

Babylon Health

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3 years ago

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

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