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ML Knowledge

3 years ago

What is your explanation of regularization and how does it contribute to machine learning?

Machine Learning Engineer

Audible

Zoom

Mailchimp

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3 years ago

System Design

3 years ago

Develop a micro-posting service similar to Twitter.

Machine Learning Engineer

Audible

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3 years ago

ML Knowledge

3 years ago

When it comes to sharing machine learning results with stakeholders, what steps do you take to ensure they are actionable?

Machine Learning Engineer

Audible

Wattpad

Tinder

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3 years ago

System Design

3 years ago

Build a real-time collaborative platform for coding teams.

Machine Learning Engineer

Audible

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3 years ago

ML Knowledge

3 years ago

Tell me about the concept of cross-validation and its significance in machine learning?

Machine Learning Engineer

Audible

Meetup

AppDynamics

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3 years ago

Coding

3 years ago

What is your approach for identifying shared ancestors between two separate individuals in a genealogy tree?

Machine Learning Engineer

Audible

Yandex

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3 years ago

ML KnowledgeML Case

3 years ago

Can you explain the differences between tabular and multidimensional models, and which among the two is the supported model for Azure analysis services?

Machine Learning Engineer

Audible

SoFi

Plaid

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3 years ago

ML Knowledge

3 years ago

I'm interested in your experience using cross-validation to assess the effectiveness of a machine learning model.

Machine Learning Engineer

Audible

Netflix

Siemens

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3 years ago

Statistics

3 years ago

Can you describe an approach for breaking down errors in a machine learning model into bias and variance components?

Machine Learning Engineer

Audible

NetEase

Bosch

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3 years ago

ML Knowledge

3 years ago

How would you explain the concept of gradient boost in the field of machine learning?

Machine Learning Engineer

Audible

Pluralsight

Elastic

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3 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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