The take home assignment was confidential, but as long as someone has a good grasp of opencv, numpy and other standard Python computing libraries, should be doable. The third stage was about systems thinking and the questions were built upon the take home assignment e.g. how to scale the algorithm. There were some role-specific questions, which in my case was about MLOps.
Questions on Trees , Machine Learning basic questions like Precision ,Recall, Regression Supervised and Unsupervised Learning with full explanation (Algorithms too) and Algorithms. Full Explanation of my Resume.
Your previous work experiences and if you have any prior knowledge of CMC machines.
Why we use odd kernel size in conv layer?
I got a code of DL model and its training process. The task is to fix it.
Would you consider going permanent
what is reinforcement learning? in machine learning
What are your projects? What is SVM , linear regression?
Simple Leetcode style problems were asked. And also to debug an ML algorithm.
What makes you want to work here?
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