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ML Knowledge

6 months ago

Explain the contrast between L1 and L2 regularization methods used in regression analysis, and when one would be favored over the other.

Data Scientist

Ancestry

Grammarly

Transferwise

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6 months ago

Behavioral

6 months ago

Please share an instance when you and your manager disagreed.

Product ManagerData Engineering ManagerEngineering ManagerUX Designer

Ancestry

Pepperfry

Huawei

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6 months ago

Behavioral

6 months ago

Describe a time you had to compromise

Product ManagerData ScientistFull Stack Software EngineerProgram Manager

Ancestry

Zscaler

ETRADE

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6 months ago

Behavioral

6 months ago

Can you tell me about your career journey thus far, highlighting your most relevant experiences?

Engineering ManagerProgram ManagerFrontend EngineerFull Stack Software Engineer

Ancestry

Epic Games

New Relic

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6 months ago

Product Marketing

6 months ago

Describe your approach to enhancing customer loyalty and decreasing customer turnover.

Product Marketing Manager

Ancestry

DigitalOcean

LendInvest

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6 months ago

Behavioral

6 months ago

Talk about a time you had a conflict with your manager.

UX DesignerTechnical Program ManagerSoftware EngineerBackend Engineer

Ancestry

Nuro

Sendbird

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6 months ago

Behavioral

6 months ago

What's the most original idea you've ever come up with?

Engineering ManagerML Engineering ManagerData Science ManagerData Engineering Manager

Ancestry

SPS Commerce

Grover

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6 months ago

Coding

6 months ago

Please provide the code for flipping a binary tree in the language of your choice.

Data Scientist

Ancestry

Redfin

Addepar

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6 months ago

Behavioral

6 months ago

Which aspects of the {role} role at Ancestry appeals to you most?

Product Manager

Ancestry

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6 months ago

StatisticsML Knowledge

6 months ago

Walk us through the basic principles of Naive Bayes algorithm. How do you determine the threshold for classification in your Naive Bayes model?

Data Scientist

Ancestry

American Express

WorldRemit

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6 months ago

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^*All interview questions are submitted by recent Ancestry candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-Ancestry employees.