1.What is the range of ML implementation topics covered in coding/whiteboard session? (e.g., Ins-and-outs of specific algorithms, optimization, statistical assumptions, probability teasers, etc.)?
2.In the coding/whiteboard, is it more focused on implementing ML algorithms from scratch or is use of open source packages (e.g., pandas, scikit-learn) expected?
3.What are some products in Airbnb's marketplace that are likely to be discussed in depth in the interview?
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