1. Profitable Project Pairs - Calculate the number of profitable pairs via binary search. 2. Maximum Swaps - Given two lists. Swap elements between two lists for a given limited time. Calculate the maximum number of unique elements in the first list. 3. Binary Circuit - Given a binary string, calculate the cost of moving all 1s to the right.
Each member of the interview team had a designated area to cover, with suggested questions. For example, write SQL code to return the count from a column.
What is correlation? What is covariance? Made a graph that the correlation is equal to 1 and -1.
some covariance matrix estimation machine learning questions
The interview process was quite casual. Did not face any particular difficult questions
Brain teasers. Discuss a data project about predicting house prices. Need a lot of feature engineering, feature collection, and model knowledge. Open-ended question.
What is the angle between the minute hand and the hour hand at 12:15?
Be prepared to answer questions on your CV
L1 and L2 regularization
mostly open ended Machine Learning questions + some simple math programming questions
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