Machine learning data scientist sollicitatievragen
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Sollicitatievragen voor Machine Learning Data Scientist gedeeld door sollicitantenMeest gestelde sollicitatievragen

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.
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Can you please provide details of the technical round?
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Super easy, it didn't need a master student to do it. So I don't want to remember it since it makes no sense. Minder

Given a list of side lengths, how many triangles can you form with 3 sides in the list?
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What does this have to do with data science?

Recursion
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This is not an answer to the question, as I'm not an engineer, but I just wanted to say thanks so much for taking the time to post your review. I can see why they made an offer to you! Very thorough and helpful (not to mention empathetic, which is particularly great). Minder

leetcode hard coding problem
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Do you think Soundhound is just an app development company?

If the training error and the testing error are both high, as the number of data points increase, what measures will you take to fix the model?
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Your isn't flexible enough to learn from the data. Try a more complicated model. Or, there is no correlation between the predictors and the response -- should have found this in analysis. Minder

Vous recherchez exactement quoi aujourd’hui ?
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Je recherche idéalement un post de data scientist où je pourrai être amené à travailler sur l’extraction, la structuration et la mise en forme des données pour en tirer des insights facilement interpretables. Aujourd’hui je m’intéresse aux outils de data engineer comme docker, kubernetes, airflow , kafka . Si je suis amené à travailler sur des sujets de ce genre je serai fonctionnel. Minder

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.
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Wow... pathetically easy

I was given a data set of different delivery information with actual delivery time reported. I need to choose whatever algo i want to train a model to predict delivery time
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I used random forest model

How do you develop ML models to handle acronyms so that mlk and milk can convey the same meaning?
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Multiple solutions may exist. Answered possibility of using a character level language model. Minder