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What is your most significant accomplishment? Why?

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

Would you elaborate on the relevance of training and loss graphs in the sphere of neural networks? How do various loss functions shape the loss graph, and what are some prevalent ones? How do the training and loss graphs contrast with one another, and what is their role in optimization and enhancement of model performance?

Can you differentiate between type I and type II errors when conducting a hypothesis test? And if you had to pick, which error do you think is more severe?

What do you think Shopify values in its employees?

Explain the concept of percentiles in statistics, and how you would go about finding the nth percentile of a dataset? Can you write a code for finding the nth percentile of a dataset.

Can you show me how to calculate the confidence intervals around a mean in Python?

In your experience, what kind of problems can be solved using XGBoosting?

Can you elaborate on how a confusion matrix and an ROC curve serve in performance evaluation and their distinct purposes?

Let me know about a time you had a hard time meeting a deadline.