I was asked to lead a conference call with an external academic expert, to design a 'gamified' approach to the Walmart smartphone app, to structure and moderate a brainstorming session with several teams, to design a number of prototyping/testing programs, and asked many many questions. Remember, this all took place over one 9.5 hour session and another 5-day session!
Blue Metrics,, Bias Var tradeoff
They ll ask you all the queastion related to python with data science.Deep dive in python multithreading,socket programming even it’s not required for data science
Most of the questions were related to my projects and basics of the subjects of interest.
How would you deal with very imbalanced data?
A person using search engine to find something, you know nothing about her/him, nothing at all, how do you come up with am algorithm that will predict what she/he needs after the user types only a few letters ?
How would you visualise this?
Derive and implement logistic regression.
Questions on clustering and classification difference.
There is no planned particular questions. Everything was organic and in response to statements I made.
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