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ML Knowledge

2 years ago

Could you share examples of any obstacles you've faced while implementing supervised machine learning and how you've been able to solve them?

Data Scientist

SAP

LendingClub

Atlassian

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2 years ago

Behavioral

2 years ago

Describe a time when you disagreed with a performance rating you received.

Data ScientistFull Stack Software EngineerData AnalystData Engineering Manager

Publicis Sapient

SAP Concur

SAP

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2 years ago

ML Knowledge

2 years ago

How to deal with categorical data with high cardinality ?

Data Scientist

SAP

Infineon

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2 years ago

Statistics

2 years ago

Would you mind comparing panel data with cross sectional data and tell me the differences?

Data Scientist

SAP

Lyft

Klarna

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2 years ago

ML Knowledge

2 years ago

How does Gradient Descent interplay with deep learning models during the training phase?

Data Scientist

SAP

Booking.com

BetterUp

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2 years ago

ML System Design

2 years ago

What would be your approach for creating a podcast search engine that enables users to find specific topics within transcripts of various shows?

Data Scientist

SAP

Uber

Asana

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2 years ago

ML Knowledge

2 years ago

How would you describe DMatrix as it is used in XGBoost, and in what ways does it differ from analogous structures in gradient boosting models?

Data ScientistMachine Learning Engineer

SAP

Viber

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2 years ago

Behavioral

2 years ago

In your present job, how do you handle your workload?

Data ScientistFull Stack Software EngineerFrontend EngineerQuality Assurance Engineer

Publicis Sapient

SAP Concur

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2 years ago

StatisticsML Knowledge

2 years ago

In what way does PCA work and what are some of its cons?

Data ScientistMachine Learning Engineer

SAP

Shutterstock

Improbable

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2 years ago

ML Knowledge

2 years ago

Bagging versus boosting- what are the differences, and how do they influence bias and variance in machine learning algorithms?

Data Scientist

SAP

Peloton

Niantic

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2 years ago

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

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