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How might you utilize a confusion matrix and an ROC curve in assessing the performance of a predictive model, and what distinguishes them?

What is your explanation of regularization and how does it contribute to machine learning?

Design a platform for distributing real-time stock data.

Can you explain the rationale behind the ROC curve and what AUC stands for?

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?

Design a system that can efficiently process streaming metrics data and apply multiple detection algorithms in parallel.

Develop a real-time system for validating user authentication requests.

What are the benefits of SGD's convergence properties over those of standard gradient descent?

How would you go about writing a function that determines the RMSE for two provided arrays?

Can you describe the methods used to address the imbalance in a dataset?