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ML Knowledge
3 years ago
What process do you follow for ETL? Can you give me an idea of the steps involved?
Machine Learning Engineer

Cognizant

Snap

Meetup

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3 years ago
ML Knowledge
3 years ago
How do you tune the parameters in DBSCAN to achieve optimal results?
Machine Learning Engineer

Cognizant

Groupon Logo

Groupon

Babylon Health Logo

Babylon Health

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3 years ago
ML Knowledge
3 years ago
To ascertain how well a model is functioning, one can calculate the AUC. How would you suggest we go about calculating AUC for our model?
Machine Learning Engineer

Cognizant

HubSpot Logo

HubSpot

Bosch Logo

Bosch

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3 years ago
ML Knowledge
3 years ago
What strategies did you use to eliminate multicollinearity and what VIF cut-off did you set?
Machine Learning Engineer

Cognizant

Airbnb Logo

Airbnb

Palo Alto Networks Logo

Palo Alto Networks

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3 years ago
ML Knowledge
3 years ago
Explain how the bias-variance tradeoff functions in machine learning, and can you describe a specific scenario where this tradeoff has had a significant effect on a model's performance?
Machine Learning Engineer

Cognizant

Palo Alto Networks Logo

Palo Alto Networks

GoCardless Logo

GoCardless

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3 years ago
ML Knowledge
3 years ago
Do you know what separates XGBoosting from traditional boosting techniques?
Machine Learning Engineer

Cognizant

New Relic Logo

New Relic

GitHub Logo

GitHub

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3 years ago
ML Knowledge
3 years ago
Can you explain what DMatrix is in XGBoost? How does it differ from other data structures used in gradient boosting?
Machine Learning EngineerData Scientist

Cognizant

Viber Logo

Viber

Deloitte Logo

Deloitte

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3 years ago
ML Knowledge
3 years ago
Can you outline the challenges faced during the training of deep neural networks with several layers?
Machine Learning Engineer

Cognizant

Airbnb Logo

Airbnb

AppDynamics Logo

AppDynamics

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3 years ago
ML Knowledge
3 years ago
Please distinguish the synopses of Logistic Regression and SVM.
Machine Learning Engineer

Cognizant

Siemens Logo

Siemens

Qualcomm Logo

Qualcomm

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3 years ago
ML Knowledge
4 years ago
What are some of the major assumptions inherent in linear regression models, and what implications do they have for interpreting output?
Machine Learning Engineer

Cognizant

Chime Logo

Chime

Anaplan Logo

Anaplan

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4 years ago

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*All interview questions are submitted by recent Cognizant Machine Learning Engineer candidates, labelled and categorized by Prepfully, and then published after being verified by Machine Learning Engineers at Cognizant.

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