The OA was codesignal core ml framework, including 6 MCQs, 1 computation problem, 2 ML coding and 1 LC style coding.
Machine Learning Consultant Interview Questions
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Describe to me a scifi? Describe your favorite ML algorithm to a high school student If you have ten taste testers and 1000 bottles of wine where one is poisoned can you find a way to figure out which one it is
Build a recommendation based engine
it was about combining sorted lists
The first one is related to merge sort, and second one a DP question
I was asked a variety of questions about my experience with machine learning, including my knowledge of different algorithms and frameworks, my experience with data processing and analysis, and my ability to design and implement machine learning models. I was also asked about my soft skills, such as my ability to communicate effectively with both technical and non-technical audiences, and my ability to work independently and as part of a team.
Describe an end-to-end machine learning pipeline.
Designing next post logic for fb news feed w/ some arbitrary constraints and optimization goals the interviewer added - effectively a variation of recommender
BST question involving traversal and pruning.
Two technical problems to solve in 40mins. One on overlapping intervals and the other one on shortest path with dead ends.
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