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What are the main steps one should follow during an ETL process? How do you optimize this process?

How would you describe regularization in the context of machine learning ?

Given a string of characters, how would you find every word of the English language contained in that string.

What fundamental principles define normal and Poisson distributions, and what sets them apart?

How did you handle a task where you had a deadline and couldn't meet it?

What are your strategies for earning your team's trust?

Could you produce 1000 data points in R with a normal distribution, defined mean, and variance, analyze the dataset summary, and plot its density? Also, show how to do this in a Python environment on Codility.

What are some probable explanations for the contrasting outcomes between the two groups in an A/B test?

What is your understanding of the different loss functions used in training ML models?

Please share an instance where you made a big mistake at work.