technical test- question on data manipulation. first round: explanation on project , general machine learning, Question on probability what is the probability of getting 1 subscription in 60 minutes, given P(getting one subscription in 20 minutes)=0.3 second round: very detailed discussion on past project and how would you identify underfitting, some puzzles on probability what is the probability of other child being a girl, given one of the two children is a girl.
Train and validation sets learning curves in an overfitting situation
Live coding: a fairly straightforward exercise that is thematically relevant to the job, and not some weird brain teaser. Came with some test cases. On Coderpad, so you get a powerful REPL for Python. Make sure to get comfortable with this environment.
Explain your recent project and what were the practical difficulty you faced while implementation.
assignment
How would you build a classifier? How would you improve it? What then? What then....?
Q: Describe your early years (from 0 to 20 y.o.) in details
Assorted technical questions about data, ML, engineering, stakeholder interactions.
What loss fonction did you choose for random forest in your take home challenge.
Tree problem, search engine, rest of "other" questions explained above.
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