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System Design

a year ago

Architect a solution for handling chaos engineering across distributed environments.

Machine Learning Engineer

Audible

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a year ago

ML Knowledge

a year ago

What do you understand by bias and variance in machine learning, and how are they dissimilar?

Machine Learning Engineer

Audible

BetterUp

Square

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a year ago

ML Knowledge

a year ago

What is the principle behind minimum height trees and their construction methodology?

Machine Learning Engineer

Audible

ASML

Honeywell

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a year ago

Coding

a year ago

Can you illustrate how to write a function that will handle alterations on a pandas dataframe?

Machine Learning Engineer

Audible

Snowflake

StubHub

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a year ago

System Design

a year ago

Design a distributed rate limiter.

Machine Learning Engineer

Audible

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a year ago

Coding

a year ago

How would you ascertain if two strings could be identical after zero or one character swaps?

Machine Learning EngineerData Scientist

Audible

Zomato

Okta

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a year ago

Coding

a year ago

Do you know which of the provided words are anagrams? Arcade, Close, Elbow, Below.

Machine Learning Engineer

Audible

Palantir Technologies

Glovo

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a year ago

ML Knowledge

2 years ago

How does BERT stand out in natural language processing, and can you illustrate and interpret its architecture?

Machine Learning Engineer

Audible

Amazon Web Services

Asana

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2 years ago

ML Knowledge

2 years ago

Can you tell if the vanishing gradient issue occurs at the start or closer to the completion of the neural network's layers?

Machine Learning Engineer

Audible

Peek

Rivian

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2 years ago

ML Knowledge

2 years ago

If you were tasked with optimizing hyperparameters for a machine learning model, what method would you use and why? Can you explain the differences between grid search CV and random search CV?

Machine Learning Engineer

Audible

American Express

Epic Games

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2 years ago

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

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