The questions ranged from basic topics like bias vs. variance trade-offs to advanced topics like LLMs and self-supervised learning. Usually, they will give you a hypothetical scenario and ask you to solve the problem using ML. Based on your answer, you are asked subsequent questions.
Word break I and II in hackerrank
Some questions are based on the projects listed on my resume.
Codility test + analysis of one of my open-source contributions.
MySQL question - how to drop duplicates from a table where every building lists a sales price several times. Leave only the latest record
Median Leetcode question, meaning that they don't have a specific expectation of skill set that the candidate should possess, other than logic and general algorithm on Leetcode.
How would you go about creating a ML pipeline
Q: Overfitting vs Underfitting. Q: Bagging vs Boosting.
Can you describe the transformer architecture?
Write code to load in data, preprocess, and build a basic machine learning model.
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