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When creating a metric to compare two user's Netflix recommended lists of movie/tv show preferences, what steps would you take to ensure its reliability and accuracy?

What are some of the prerequisites for clean data when it comes to machine learning, and how do you ensure they are all met?

Can you recommend tools or techniques for visualizing complex, multi-dimensional data?

What makes you a great fit for Airtable?

What do the training and loss graphs signify for a neural network? How do different loss functions influence the shape of the loss graph, and what are some widely utilized ones? How do the training and loss graphs differ, and what do they contribute towards optimizing and augmenting model performance?

What are some possible factors that contribute to the variation observed between the two groups in an A/B experiment?

What factors do you consider when forecasting a user's lifetime value?

Describe a time when you managed a team.

Please describe your biggest professional achievements in your current role.

How do the coefficients in a logistic regression model inform us about the odds of the outcome occurring?