Typical behavioural questions - advice would be to think about how you work and what you can bring to the company. Standard textbook ML knowledge and some practical scenarios. For the final interview on the HackerRank submission the interviewer had prepared some questions based on my solution - so the advice would be to preempt questions / think beyond your submission.
When would you choose a Random Forest or a Logistic regression model
Talk about p-value, hypothesis testing and A/B testing
Live SQL/Python coding with Glassdoor data, ML breath questions, going over past projects.
Kein Forstellungsgespräch hat stattgefunden. Man sollte zuerst den Coding Test erfolgreich bewältigen.
Classification of emails using Machine Learning (was asked not to use deep learning framework).
How does a CNN for object detection compute the detection probabilities?
What are the most advanced AI tools you've used, and describe an outcome you've achieved by using them.
Everything related to project and a concept/knowledge check !
Describe a model that you worked on.
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