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ML Knowledge
2 years ago
If you were faced with a high-dimensional dataset in a machine learning project, how would you handle it?
Data Scientist

Onfido

Atlassian

Visa

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2 years ago
Statistics
2 years ago
What procedure would you use to generate a set of 1000 normally distributed data points with mean=x and variance=y, and how would you graphically represent and summarize the data?
Data Scientist

Onfido

WeWork

Bolt

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2 years ago
Statistics
2 years ago
What are the ways to minimize residuals on a different statistical model?
Data Scientist

Onfido

Amazon Web Services Logo

Amazon Web Services

Monzo Logo

Monzo

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2 years ago
Behavioral
2 years ago
What would you change to make Onfido better?
Data Scientist

Onfido

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2 years ago
Statistics
2 years ago
What criteria do you use to determine whether a Gaussian mixture model is a suitable choice for modeling a particular data set?
Data Scientist

Onfido

CrowdStrike Logo

CrowdStrike

Ticketmaster Logo

Ticketmaster

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2 years ago
Statistics
2 years ago
How would you describe heteroscedasticity?
Data Scientist

Onfido

Paytm Logo

Paytm

LogMeIn Logo

LogMeIn

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2 years ago
ML Knowledge
2 years ago
In what way does the k-means algorithm function differently from the k-nearest neighbors algorithm?
Data Scientist

Onfido

Mozilla Logo

Mozilla

Palantir Technologies Logo

Palantir Technologies

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2 years ago
ML Knowledge
2 years ago
What are the steps you go through in ETL sort of processes?
Data Scientist

Onfido

Intel Logo

Intel

Coinbase Logo

Coinbase

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2 years ago
Statistics
2 years ago
What is the total sample size needed to reduce the margin of error from 3 to 0.3, assuming your current sample size is n?
Data Scientist

Onfido

TikTok Logo

TikTok

Palo Alto Networks Logo

Palo Alto Networks

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2 years ago
Behavioral
2 years ago
What makes you the best candidate for this Data Scientist role?
Data Scientist

Onfido

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2 years ago

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