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How can the principle of regression be conveyed to an executive without relying on statistical jargon?

Tell us about any problems that arose while using supervised machine learning algorithms and how you approached solving them.

Going back to when Meta only offered 'Comment' and 'Like', how would you develop a plan to test new buttons representing different emotions? And how would you methodically set up an A/B test to validate this plan?

What makes you the best candidate for this Data Scientist role?

How would you define perceptron in a simple way?

Could you provide an overview of what outlier detection involves?

Let me know about an experience you had leading a team.

If you were ever the manager of a team, tell me about it

Can you discuss your strategies for managing skewed data during model assessment and the metrics that apply?

How many and what types of loss functions have you come across in your experience?