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Design a system for managing a distributed load balancer.

What is the big-O notation for the time complexity of an SVM training process? What governs the time complexity when an SVM model is deployed for making predictions? How does the computational demand vary for SVMs with Linear versus RBF kernels during training and inference?

What constitutes the BERT model's advantages, and how would you visualize and expound upon its underlying architecture?

How would you plot an ROC curve based on predicted probabilities and true labels?

Outline the components of a distributed workflow system that ensures exactly-once execution semantics.

Build a scalable and reliable distributed scheduler.

Design a real-time video analysis system for detecting objects.

In your experience, have you found that using an LRU cache improves performance? How so?

In your opinion, what is regularization in machine learning and why is it important?

Could you give me some concrete examples of where overfitting and underfitting are problematic in real-world situations? What are the repercussions for the accuracy and performance of models?