- Some very generel ML questions: Describe regression, random forrests, etc. - What is a neural network, what are its properties? - For what kind of problems would neural networks be useful, for which not? - Describe the backpropagation algorithm. - Given an image classification task with very limited data (~20 images), what are possible approaches?
Stages: Technical interview about my experience Take home task with very loose objectives. 1 week to complete. Implement an API that allows users to upload a photo, processes the photo and returns resulting photo. Discussing home task submission with the team.
As-tu déjà managé des profils machine learning engineer ?
How does sustainability affect your life?
Experience and my interest in the area.
Balanced paranthesis
programming written test , series of technical interview (ask question,again coding repeated)
Resume screening, basic MCQs on python and ML
Q: which university are you graduated from? (Tip: if it is not in the top 10 in their list, do bother to answer any other questions.)
if you get a code that the employee assumed that it work better than the currently code, how you test at the real time
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