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What is the most innovative idea you have ever had? How did you come up with it and how did you go about implementing it?

What is the significance of regularization in the training of machine learning models?

Can you provide me the average value of transaction for customers who have made over 10 purchases in the past 90 days?

Show how to write a program that rolls a six-sided die fairly, and describe how you'd ensure the fairness of the rolls.

Could you provide an explanation of how to split up errors into bias and variance categories in a predictive model?

What does the journey of a machine learning model look like from initial training to final deployment?

How would you code a shuffle() function that randomizes an array uniformly using roll()?

How can you differentiate between bagging and boosting, and what impact do they have on the bias and variance of supervised learning models?

What is your interpretation of the difference between the frequentist and Bayesian methods for probability. Additionally, what standards would you use when selecting between the two in a particular situation?

What did you do when you missed a deadline?