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Questions d'entretiens - Data Scientist


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NLP challenge about finding semantic similarity of some 121 tweeter tags.

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basic solution in python was provided. I extended the solution the best I could.

Why did you apply for this job? Tell me about a time where you had a conflict with a co-worker. What is your main weakness (personality-wise, not job-wise)? Technical questions: they told me about scenarios related to data science, and asked me what I would do (those questions were tough).

a case interview about an app like uber. the company want to develop the waterloo market. what need to consider?

How much are you familiar with tensorflow?

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1st round: probability, SQL coding, general analysis process. 2nd round: algorithm and general analysis process on Facebook specific scenario.

What's the difference between supervised and unsupervised learning

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