Questions d'entretiens - Machine learning research scientist

26

Questions d'entretien pour Machine Learning Research Scientist partagées par les candidats

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Bloomberg L.P.
On a demandé à un Research Scientist/Machine Learning...27 novembre 2014

More on machine learning algorithms. Easy coding question

1 réponses

Can you provide more details on the questions please?

Amazon

Describe a project where things didn't work out as expected.

1 réponses

Gave example

Amazon

You have a linked list of numbers, how would you return the median ? Follow up, what is the worst case performance?

1 réponses

Basic data structures. Sorting algorithm. Calculate indices used to return or compute the median. Use indices in loop. Moins

Bloomberg L.P.

After you have decided which features to use, describe the process of constructing feature-vectors

1 réponses

It was almost all about tf-idf vectorizer

Amazon

You have a singly linked list, how would you find the median?

1 réponses

Sort it (choose an algorithm), calculate index for median, loop over next based on index. They will want to actually discuss implementation (i.e. use a for loop, traverse next ptr, etc.). You should also know algorithmic complexity (big-O notation). Moins

Amazon

Describe a project where there were multiple alternatives from which to choose in implementing it.

1 réponses

Gave examples from work history.

Rocket Fuel

'''Question 1: Given a sorted but rotated array, and a target, find the location of the target in the array. If the target is not in the array, returns -1 1) INPUT: [3,6,7,1,2], target = 1 OUTPUT: 3 2) INPUT: [3,6,7,1,2], target = 9 OUTPUT: -1 '''

1 réponses

def search(A, target): if target == None: return -1 #if not target: # return -1 #riht I needed to address this! try: target = int(target) except ValueError: return -1 l=0 n = len(A) r = n-1 while l<=r: middle=l+((r-l)/2) if A[middle] == target: return middle if A[l] <= A[middle]: if ((A[l]<= target) and (target Moins

Amazon

If you were designing a robot lawnmower, where would you start?

1 réponses

They will ask you about how specifically you implement the perception algorithms, what sensors you will use, and where you put the sensors. They were more interested in computer vision. Moins

Bloomberg L.P.

How do you implement feature selection in text classification?

1 réponses

Mutual information / chi-squared criteria

Amazon

If you were designing a robot lawn mower, where would you start? Various follow ups including sensors, limited to cameras, where mounted? How would you recognize people? Describe skeletal model?

1 réponses

This was basically describe the technical solution and they wanted also to know specifically how I would implement them. Moins

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