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Machine Learning Interview Questions
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ML algorithms and its working based on projects in resume.
Transformer architecture encoder decoder and autoregressive models
I was asked computer vision specific questions on CNN, Transformers etc.
Under NDA, so no details. General motivation, but mostly technical: hard probability & statistics questions.
What are some key things you look to do to keep code clean and readable?
For the first round:- 1. What is your name 2. Number of projects done, not even ask what I've done on those projects. Just number 3. Expected CTC
explain project end to end
What is the transformer architecture
Which methods could be used to improve quality of NN?
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