"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
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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