Questions that they don't even know the answer
Data Scientist Interview Questions
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About Yourself?
Asking about topics from my cv: supervised&unsupervised learning mostly. 1)What is linear regression ? error and reguarization methods (L1&L2) 2)How to determine k in k-means? 3)difference between GMM and k-means. 4)Explain PCA. 5)How to decide how many PC (in PCA) to use? 5)What is t-SNE? 6)Explain the difference between bootstrap and bagging and give example for one model for each one of them.
Given an array having numbers 1 to n, and also having two additional duplicates (ranging 1 to n). Find the two duplicates?
How would you model multiclass distribution data?
Binary trees O(n..), tree algorithms efficiency etc.
Provided a link to a website and requested some Exploratory Data Analysis on the available data.
No question, no test, no task, no way to value the person's experience and skill, just arbitrary valuation of CV. Maybe not even.
What is the difference between supervised and unsupervised learning?
Asked to do Data Preprocessing
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