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How would you define type I and type II errors in the realm hypothesis testing? And which mistake do you think is the more serious of the two?

Describe a time when you failed at work.

If a coworker frequently arrives late to a scheduled meeting, what would you do?

What are the meanings of false positives and false negatives in statistical hypothesis testing, and how do they affect the eventual outcomes?

In your next job at BigCommerce, what are you looking for?

Could you provide an example of a probability distribution that doesn't fall under the normal distribution category? Additionally, Can you specify a scenario where this probability distribution would be suitable?

Tell me about a time when you didn't get along with a coworker and had to finish a project together.

Please provide a script to draw N samples from a population with mean 0 and standard deviation 1 and plot the histogram.

Could you provide an explanation for what the X and Y axes of a ROC curve stand for and how they relate to interpreting results?

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?