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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?

What methods do you apply to assess the accuracy of computer vision algorithms?

How would you architect a scalable time series database for IoT sensor data?

What do you think makes feature selection such an important aspect of machine learning?

In what way does a 1D CNN handle data processing?

Design a system for managing a distributed search engine.

Design a system for detecting fraudulent transactions.

How would you architect a scalable distributed file system?

Can you explain the concept of a Neural Network and its operational dynamics?

What strategies would you employ to handle data sparsity and scalability challenges in a recommendation system?