Assessement: Questions regarding sql, ML, stats , and 1 coding for ML and one for postsql 1st interview: Basics of ML, stats, python , sql like overfitting, vif, hyperparameter tuning, ar and ma model of time series and difference among them, gradient descent 2nd intervew: One aptitude, Architechture of LSTM, working of tanh gate, why data should be stationary for time series, one solving based on gradient descent, dropout.
How to deal with high cardinality data
What would be the hallmarks for you to consider switching from rules based to ML models?
Some use case of threads with scores with some basic questions on the approach
What is a Python library you find interesting?
Calculate metrics based on a few tables, doing some joins and stuff
Questions covered from SQL, text mining, to stats modeling. LOL believe it or not they staring this opening from January 2015 or maybe earlier, and currently they are still interviewing for this position! You may consider more before you decide to play this game.
How will you integrate yourself to the swiss culture? How will you find a balance between family and career?
How much do you know about our company?
What is the model I used for my project, and the reason for selecting that model
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