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Machine Interview Questions
10,815 machine interview questions shared by candidates
2 turns of interviews: 1. Asking about general questions and basic understanding of ML, theortical and pratical level. 2. Technical questions about CNN and Numpy, such as understanding of CNN layers, how to handle some transformation using Numpy
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?
What past experience do you have that will translate to this position?
How long did you operate machinery and for who.
What is the difference between an image and a container in Docker?
Q: Describe what are train, eval, test dataset.
Q: If eval dataset exists, why would we need test dataset?
Standard ML Engineer interview slate
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