ML Knowledge

There are various techniques to detect anomalies, what method do you prefer?

Machine Learning Engineer

Quantcast

Criteo

Anaplan

Onfido

Ripple

Broadcom

Did you come across this question in an interview?

  • There are various techniques to detect anomalies, what method do you prefer?
  • 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?
  • What is a good way to detect anomalies?
Try Our AI Interviewer

Prepare for success with realistic, role-specific interview simulations.

Try AI Interview Now

Interview question asked to Machine Learning Engineers interviewing at Broadcom, Headspace, Redfin and others: There are various techniques to detect anomalies, what method do you prefer?.