The questions mainly tested the candidate's grasp of knowledge for basic concepts in: biology, chemistry, biochemistry, statistical thinking, and machine learning. I was asked to talk through relevant experiences and to describe certain machine learning models that I had previously worked with.
What is machine learning/ ML?
Q: Describe what are train, eval, test dataset.
Q: If eval dataset exists, why would we need test dataset?
Standard ML Engineer interview slate
Basic questions about CV, ML and data science fundamentals
propose a solution to NLP scenario given by the company's representative and the KPIs for the proposed solution.
- Why godatadriven - What kind of projects did you do
Didn't go till interview, rejected in online round
Q. Do you have a paper in major publication.
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