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Could you devise a system for promptly and effectively pinpointing objects in a visual frame?

What optimization algorithms can you list from your repertoire? How would you tackle the challenge of optimizing a problem with a million variables? What is the principle behind the simplex algorithm in optimization?

Imagine you're building a metric to compare two user's Netflix recommended lists of movie/tv show preferences. What factors would you prioritize in the development process?

What are your thoughts on using Rectified Linear Unit as an activation function compared to other activation functions?

Could you define log loss in the context of model evaluation?

Can you explain the distinction between SVM and Random Forest?

Could you walk me through the process of training a machine learning model and then deploying it?

If you were tasked with building a system for monitoring server data and alerting users of any anomalies, what steps would you take to accomplish this?

In creating a demand forecasting model for a ride-sharing service, which factors and data sources would you prioritize, and why? What steps would you take to validate the model and ensure its accuracy?

How do you describe the progression of a typical ML initiative from start to finish?