"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."
- 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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