What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors.
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Write a program in Python to calculate tax if Salary and Tax Brackets are given as list in the form [ [10000, .3],[20000, .2], [30000, .1], [None, .1]]. You don’t know in the beginning how many tax brackets are there. You have to test for all of them.
Given an event-level table of interactions between pairs of users (note that there aren't duplicates in one day for one pair of users), for each possible number of "people interacted with" find the count for that group in a given day (i.e. 10 people interacted with only one person, 20 with 2, etc.).
What is the expectation of the variance?
How can Facebook figure out when users falsify their attended schools?
The second question asks you to refactor a function in O(n^2) and make it O(n), basically by eliminating the nested for-loop. This is the function you're asked to refactor: int solution(int *A, int N) { int result = 0; int i, j; for (i = 0; i < N; i++) for (j = 0; j < N; j++) if (A[i] == A[j]) if (abs(i - j) > result) result = abs(i - j); return result; }
Measure difference between two vectors
What machine learning model would you use to classify fraudulent transactions on credit cards?
Tell a time when you had to persuade a time.
If you can build a perfect (100% accuracy) classification model to predict some customer behavior, what will be the problem in application?
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