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What's your strategy for generating an array that shows the count of mines surrounding each spot on a minesweeper map?

In your opinion, what are some of the critical assumptions associated with linear regression that researchers need to be mindful of? Why are these assumptions essential for correctly interpreting model results?

What method would you use to program a function that generates all anagrams of a given string?

Could you outline an algorithm for detecting the longest strictly increasing subarray via dynamic programming?

What are the differences between Ridge and Lasso, and how do they manifest?

What do you do to forecast a brand's revenue?

Can you mention a selection of optimization algorithms you're versed in? How would you go about optimizing a scenario with an extremely large variable set, say a million? How does the simplex method facilitate solving linear optimization problems?

What is the significance of batch normalization and dropout in the machine learning domain?

Design a system for real-time processing of mobile app analytics.

How does the assumption of error in linear regression influence the accuracy of our models, and what does it entail?