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ML KnowledgeML Case

7 months ago

What optimization techniques ares you familiar with and how do they basically work? How would you find the optimal price given a linear demand function?

Data Scientist

Springboard

Adyen

Fitbit

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7 months ago

Behavioral

8 months ago

What is one of the projects you are super proud of being a part of? Why?

Data ScientistProduct ManagerBackend EngineerSoftware Engineer

Springboard

Lime

Western Digital

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8 months ago

ML Knowledge

8 months ago

Could you describe the purposes of batch normalization and dropout in deep learning models?

Data Scientist

Springboard

Sony

Rovio

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8 months ago

Coding

8 months ago

Join two sorted arrays to form another sorted array.

Data Scientist

Springboard

Sprinklr

Indeed.com

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8 months ago

ML Knowledge

8 months ago

Can you explain the contrast between the mechanisms of RNNs and LSTMs?

Data ScientistMachine Learning Engineer

Springboard

Tokopedia

StubHub

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8 months ago

ML Knowledge

9 months ago

What are some challenges that you have faced while performing Time Series Forecasting, and how did you overcome them?

Data Scientist

Springboard

Paytm

Hewlett Packard

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9 months ago

Behavioral

9 months ago

A coworker continues to arrive late to the scheduled meeting each week. What should be done?

Data ScientistData Engineering ManagerML Engineering ManagerEngineering Manager

Springboard

MuleSoft

Oracle

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9 months ago

Behavioral

9 months ago

How would you detail the typical journey of a Data Science project from its start point to its endpoint?

Data Scientist

Springboard

Ironclad

American Express

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9 months ago

Behavioral

9 months ago

Share a story about a time you took a risk.

Data ScientistiOS EngineerTechnical Program ManagerProgram Manager

Springboard

Age of Learning

Fast Enterprises

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9 months ago

Behavioral

9 months ago

Describe a time when you failed at work.

Data ScientistProgram ManagerTechnical Program ManagerFull Stack Software Engineer

Springboard

Kajabi

Productboard

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9 months ago

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^*All interview questions are submitted by recent Springboard Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Springboard.

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