Research interview: Clarifications and discussion of past machine learning projects. Questions about future directions and related topics. Questions on standard ML/DL concepts. Coding: 2 leetcode medium-hard questions (both were related to ML in a broader sense, so nothing on e.g. trees)
Where do you see Facebook in 5 years from now? Give an example of when you showed entrepreneurial spirit. Pick a user experience problem on Facebook that is relevant to FB's mission and propose a research plan.
Do you have any experience with HTS?
How do you forecast raw material prices? How do you forecast growth rates
Tell us why we should pick you over others in your peers group? What makes you unique.
In my case the most difficult question I can remember would be when I was asked about for how long are you planning to stay with this organization.
What triggered my interested in research?
1. Are you fine to relocate at your Dad's Money and Park Yourselves with us ? 2. After all these bakwas, if you are the scapegoat and made your landing at that recruiters desk on the Date of Joining, Head of the recruitment (By luck you met). she would post "Is everything okay?"
program a static NN in TensorFlow for AND Gate
Why the Trees from a Random Forest provide different results
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