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Behavioral
3 years ago
How do you manage your work load at your current company?
Data ScientistFull Stack Software EngineerFrontend EngineerQuality Assurance Engineer

IBM

Hired

Mailchimp

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3 years ago
Coding
3 years ago
Can you devise a strategy to interpret a string with multiple levels of nested parentheses?
Data Scientist

IBM

CRED Logo

CRED

OpenDoor Logo

OpenDoor

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3 years ago
Behavioral
3 years ago
Tell us about a time when you made a big mistake at work.
Data ScientistData Engineering ManagerUX ResearcherEngineering Manager

IBM

Box Logo

Box

Amdocs Logo

Amdocs

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3 years ago
ML Knowledge
3 years ago
How do you weigh the advantages against the disadvantages of SVM in machine learning?
Data Scientist

IBM

BuzzFeed Logo

BuzzFeed

Ubisoft Logo

Ubisoft

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3 years ago
ML Knowledge
3 years ago
How does regularization contribute to machine learning models?
Data Scientist

IBM

Mailchimp

Yandex Logo

Yandex

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3 years ago
Behavioral
3 years ago
What did you learn from a recent failure? How has this failure made you a better Data Scientist?
Data Scientist

IBM

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3 years ago
ML Knowledge
3 years ago
What role does dimensionality reduction play in Machine Learning, and what approaches do practitioners typically take when working with high-dimensional data?
Data Scientist

IBM

Walmart Logo

Walmart

Viber Logo

Viber

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3 years ago
ML Knowledge
3 years ago
Could you elaborate on the various sampling techniques used in research?
Data Scientist

IBM

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Razorpay

Grafana Labs Logo

Grafana Labs

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3 years ago
ML Knowledge
3 years ago
Can you discuss a specific project where you utilized dimensionality reduction techniques to effectively manage and analyze complex data?
Data Scientist

IBM

OpenDoor Logo

OpenDoor

Atlassian Logo

Atlassian

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3 years ago
ML KnowledgeStatistics
3 years ago
Explain Principal Component Analysis. What are its disadvantages?
Data ScientistMachine Learning Engineer

IBM

Shutterstock Logo

Shutterstock

Improbable Logo

Improbable

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3 years ago

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

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