1) About the online assessment, I cant describe problems due to terms and conditions. They were typical medium leetcode problems, algorithms and dsa 2) During the phone interview was asked about how I imagine myself working there, what are my expectations and I was said what it is like working there. 3) ML technical questions, like transfer learning, computer vision operator filters, metrics, spectrograms, segmentation, python generators and oop
What would you to do deploy a complex ML model to an embedded system?
If a model performs very bad on training data, what could be the reason? How to fix?
Decision tree and ensemble techniques. Naive bayes Bias variance tradeoff
What is yur relevant past experience?
Describe how logistic regression works.
Tell me about two things you afraid
Tell me about two things you afraid
Programing: Solve a sudoku in Python together with them
Write a formula for cross enthropy loss.
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