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What sort of problems have you faced with supervised machine learning? How would you overcome them?

Data Scientist

Shopify

Uber

Waymo

Zulily

Twilio

Amadeus

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Behavioral
  • What sort of problems have you faced with supervised machine learning? How would you overcome them?
  • Can you tell us about any issues that arose while using supervised machine learning techniques and how they were resolved?
  • Has supervised machine learning ever been problematic for you and if so, how did you address those challenges?
  • What sort of impediments have you faced while experimenting with supervised machine learning and how did you manage to conquer them?
  • Describe any hurdles you have overcome while working with supervised machine learning, and how did you overcome them?
  • Have you ever had any difficulties while working with supervised machine learning models, and if so, what measures did you take in order to tackle them?
  • Could you share examples of any obstacles you've faced while implementing supervised machine learning and how you've been able to solve them?
  • Tell us about any problems that arose while using supervised machine learning algorithms and how you approached solving them.
  • Have you ever experienced difficulty when employing supervised machine learning methods and, if so, how did you go about resolving those issues?
  • Describe any difficulties encountered while working on supervised machine learning models and suggest remedies.

Interview question asked to Data Scientists interviewing at Shopify, Twilio, SeatGeek and others: What sort of problems have you faced with supervised machine learning? How would you overcome them?.