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Behavioral
2 years ago
What do you see yourself doing in the next five years?
Data ScientistEngineering ManagerUX DesignerUX Researcher

Scribd

DoorDash

Instana

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2 years ago
ML Knowledge
2 years ago
In what scenarios are SVMs advantageous, and when do they fall short?
Data Scientist

Scribd

BuzzFeed Logo

BuzzFeed

Ubisoft Logo

Ubisoft

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2 years ago
Statistics
2 years ago
How would you determine the likelihood of flipping a fair coin through a series of tests?
Data Scientist

Scribd

Ola Logo

Ola

Autodesk Logo

Autodesk

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2 years ago
ML Knowledge
2 years ago
Can you elaborate on the contrasts between the summaries of Logistic Regression and SVM?
Data Scientist

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Bosch Logo

Bosch

Zomato Logo

Zomato

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2 years ago
Coding
2 years ago
How do you go about using a greedy algorithm to find the minimal subarray with a sum no less than a target?
Data ScientistMachine Learning Engineer

Scribd

AT&T Logo

AT&T

SAP Concur Logo

SAP Concur

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2 years ago
ML Knowledge
2 years ago
What are some of the key methods that Machine Learning professionals use for dimension reduction, and how do they work?
Data Scientist

Scribd

Walmart Logo

Walmart

Viber Logo

Viber

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2 years ago
Statistics
2 years ago
What steps would you take to produce 1000 normally distributed data points with mean=x and variance=y, and how would you visualize and summarize this data?
Data Scientist

Scribd

WeWork Logo

WeWork

Bolt Logo

Bolt

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2 years ago
Behavioral
2 years ago
Describe a time when you disagreed with your manager.
Data ScientistData Engineering ManagerEngineering ManagerUX Designer

Scribd

Pepperfry Logo

Pepperfry

Huawei Logo

Huawei

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2 years ago
Coding
2 years ago
What is the most efficient way to implement the two sum problem using a hash table and ensure a O(n) time complexity?
Data Scientist

Scribd

Spotify Logo

Spotify

Teradata Logo

Teradata

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2 years ago
Statistics
2 years ago
What outlier detection techniques have you implemented in your previous work?
Data Scientist

Scribd

Benchling Logo

Benchling

Ripple Logo

Ripple

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2 years ago

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