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What do you do to make yourself stand out?

What are your go-to optimization techniques and how do they essentially operate?

Give an account of the contrast between multidimensional and tabular models, and explain which of the models is backed up by Azure analysis services?

Let me know about a time when you disagreed with someone on your team.

Your main responsibility is to generate 1000 normally distributed data points using R and Python, with a specified mean and variance value. Calculate summary statistics of the dataset and clarify their meaning. Create a density plot of the data in R and Python, as well.

Generate 7 integers with equal probability from a function which returns 1/0 with probability p and (1-p)

Can you share an example of a time when you made an unpopular decision

What is LSTM and why did you choose to incorporate it in your machine learning projects? Can you tell us about your experience working with this model?

When have you gone an extra mile for a project or endeavor?

What do you see as the positive and negative aspects of employing SVMs?