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On a demandé à un Predictive Modeler/Data Mining Scientist...25 avril 2015

What was the angle between the clock hands at 3:15.

4 réponses

7.5 degrees

7.5 degrees

7.5 degrees

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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!

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

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

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


Compass Group

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

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.

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

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.

Bharat Aluminium

What's ur favorite subject

1 réponses

Mine Development.

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