ML Knowledge

What is a good way to detect anomalies?

Data Scientist

Spotify

Apple

Zomato

Cohesity

Credit Karma

Coinbase

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Product Manager

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Behavioral

What is a good way to detect anomalies?
Could you provide some examples of the tools you use to identify anomalies?
What do you consider the most effective approach to detecting anomalies in a large database?
How would you handle an anomaly found in a data set and ensure its accuracy?
Are there any specific algorithms or software that you would recommend for detecting anomalies effectively?
Have you faced any challenges in detecting anomalies and how did you overcome them?
In your opinion, what is the most crucial aspect of detecting an anomaly in a system or data set?
When it comes to detecting anomalies, what role do statistical models play?
Could you describe in detail how you would go about identifying an anomaly in a continuous data set?
How do you make sure that your anomaly detection system can handle data sets with a wide variety of variables and dimensions?
There are various techniques to detect anomalies, what method do you prefer?

Interview question asked to Data Scientists interviewing at Spotify, Credit Karma, Apple and others: What is a good way to detect anomalies?.