Describe your interpretation of machine learning infrastructure based on your experience.
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How CNN works How Tesseract extracts text etc..
Talk about your education and experience how does your current study help you roles and responsibilities in previous role
What are common activation functions?
Give an example of when you applied analytical thinking to produce a workable solution to solve a problem.
Tell me about your background.
How do you handle competing priorities?
What is your experience with Reinforcement Learning?
Tell me about a past machine learning project.
* GAN literature overview (stability techniques i.e. regularization/normalization, architectural advances, ...)
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