Explain the difference between an analyst and a data scientist?
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Explain recommender system?
Explain how to define the number of clusters in a clustering algorithm?
How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
What does a data scientist do?
Explain calculate distance methods briefly?
What are the feature vectors?
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?
Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?
State the difference between a validation set and a test set?
What is linear optimization? Where is it used?
What is the aim of a/b testing?
Where linear optimization is used?
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