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Explain the difference between bias and variance in machine learning.

Could you discuss the criteria you use when choosing between Ridge and Lasso regression for a specific problem?

When conducting a hypothesis test, what are type I and type II errors, and which one do you believe is the greater of the two?

Discuss the difference between precision and recall in terms of their meaning and function in the context of classification models. Also, discuss some scenarios where these metrics may give misleading results or fail to provide useful information.

Share with me an instance of failure at your work.

Tell me about a time when your performance rating differed from what you expected.

Can you describe methods for multi-dimensional data visualization?

Are you able to identify the differences between cross sectional data and panel data?

If I were to pit joins against subqueries in terms of speed, which do you think would come out on top?

Please discuss the practical implications of using CNN and the fields where it sees the most adoption.