Questions d'entretien pour Data Mining Analyst
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Questions d'entretien pour Data Mining Analyst partagées par les candidatsPrincipales questions d'entretien
What was the angle between the clock hands at 3:15.
4 réponses
Given the set a a b b a a c c b b of unknown length, write an algorithm that figures out which occurs most frequently and with the most continuous repetition.
2 réponses↳
doesn't matter, no answer is right!
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Maintains Hashmap to store the overall frequency and longest continuous sequence. Moins
List the strings that are anagrams from a set of strings?
2 réponses↳
Sorting the strings is not optimal because each sort is O(N log N) where N is the number of characters in each word. A more optimal solution is to create a function to encode each word as a hash table of character frequencies, which is O(N) for each word. Moins
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sort the strings and compare
How would you design a recommendation system (like amazon)?
2 réponses↳
Use collaborate filtering to compare personal preference with others. If A and B are similar, we can recommend preferred items in B to A. Moins
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Why downvote on other answer? He/she is right. Collaborative filtering is the most common strategy for recommendation systems. You see user A buys these things and user B also bought those things but user B bought this other thing too so let's show that thing to User A. Moins
there really were none.
2 réponses↳
they seemed ot want to hear what I had ot say about my past assignments and relevance to the opening. i think they were not impressed. Moins
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Intuited
why do you think you should be chosen for this position?
2 réponses↳
I'm hard working, great team player, reliable, quick learner etc etc
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cuz i got a 10inch and great performer in front of the camera - porn industry
We do pre-screening on the data to remove fraud threats -- so how do we find a data sample that we can use to determine a real representation of fraud events.
2 réponses↳
Remove screen and look at the unbiased data.
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Yes, remove prescreen and look the unbiased sample. IF the unbiased sample becomes too big, then just randomly choose 1/2, or small, for the purpose of representation of fraud events. Moins
Implement a sampling function with nominal distribution.
2 réponses↳
I think you mean Normal distribution! If you are using R use set.seed(). You can then use rnorm() with size, mean & SD. e.g. >set.seed(123) >rnorm(100, 2, 5) Moins
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I'm the original poster, sorry for my typo. I actually mean multinomial distribution. And the advanced question was, if the probability is a skewed distribution, how would you speed up your algorithm. You can find both answer from Wikipedia. :) Moins
Tell me about your past experience in engineering.
1 réponses↳
Provided examples from my education and work.
