Preguntas de entrevista de Machine learning research scientist

26

Preguntas de entrevista para Machine Learning Research Scientist compartidas por los candidatos

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Bloomberg L.P.
A un Research Scientist/Machine Learning le preguntaron...27 de noviembre de 2014

More on machine learning algorithms. Easy coding question

1 respuestas

Can you provide more details on the questions please?

Amazon

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

1 respuestas

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 respuestas

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

Bloomberg L.P.

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

1 respuestas

It was almost all about tf-idf vectorizer

Amazon

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

1 respuestas

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). Menos

Amazon

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

1 respuestas

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 respuestas

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 Menos

Amazon

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

1 respuestas

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. Menos

Bloomberg L.P.

How do you implement feature selection in text classification?

1 respuestas

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 respuestas

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

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