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What methods have you employed to tackle multicollinearity in your models?

Share with me an instance of failure at your work.

What makes you want to join YouTube?

What motivated you to change jobs? Why do you believe YouTube is the perfect place for you to advance your career?

How do you approach cleaning and restructuring data to optimize its use in machine learning?

I'd like you to share a time when you had multiple competing priorities. How did you deal with this?

Explain the differences between a right join and an outer join in SQL.

Regarding the vanishing gradient issue, which activation function—ReLU or sigmoid—is preferable?

Can you explain the difference between Lasso and Ridge regularization, and how do you determine which to apply in a given situation?

How would you approach building a demand forecasting model for a ride-sharing service? What factors would you consider and what data sources would you use? Can you walk me through the steps you would take to develop and validate such a model?