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
How to make an adaptation of ASR system to new language on-device?
If a model performs very bad on training data, what could be the reason? How to fix?
What would you to do deploy a complex ML model to an embedded system?
Why did I want to work at Amcor?
What kind of experience I had.
What is yur relevant past experience?
Decision tree and ensemble techniques. Naive bayes Bias variance tradeoff
Describe how logistic regression works.
Tell me about two things you afraid
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