The three data structure questions are: 1. the difference between linked list and array; 2. the difference between stack and queue; 3. describe hash table.
Machine Learning Data Scientist Interview Questions
442 machine learning data scientist interview questions shared by candidates
How do you weight 9 marbles three times on a balance scale to select the heaviest one.
Fix a piece of sh*t code that just request data and save it to MySql. Super easy and easy to fix so I don't know what is the point of the interview. Totally a sh*t experience.
Given a number, how to find a closest number in a series of floating point data.
Probability, conventional machine learning, deep learning, coding/algorithm, behavioral
Vous recherchez exactement quoi aujourd’hui ?
1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)
Behavioral question: do you have any experience of over-delivering the job?
Given a list of side lengths, how many triangles can you form with 3 sides in the list?
I won't give details about the question as I respect the confidentiality of the interview. However, to give a general feeling, I think it doesn't hurt to mention the following. For example, code a class that implements a very popular ML algorithm. Even if the algorithm is very simple there are lots of possible improvements and generalisations, how to make it robust, efficient etc. Same thing for a class storing common data formats: dataframe, time-series, etc... how would you efficiently code access methods and/or storing according to the features of these data types?
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