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What are some of your key objectives from the Data Scientist role at Scribd?

What do the training and loss graphs signify for a neural network? How do different loss functions influence the shape of the loss graph, and what are some widely utilized ones? How do the training and loss graphs differ, and what do they contribute towards optimizing and augmenting model performance?

Tell me about a project that you are particularly proud of.

How do you handle categorical features in your data that have a large number of distinct values?

How would you code a function that outputs a normally distributed dataset and visually represent it?

How would you ascertain if our users found the video chat feature valuable?

Would you mind giving me an instance in which the mean is a more suitable measure of central tendency compared to the median?

How is information theory utilized in the assessment of language models, and can you illustrate its use with a comparative model evaluation?

Please tell me a time when you delivered above and beyond what was expected

What technique would you apply to compute the dot product of two sparse matrices?