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Design a system for real-time sentiment analysis of social media posts.

How would you approach designing a geolocation system that works across mobile and web platforms?

What strategies would you employ to handle large codebases and multiple file types in a collaborative environment?

How do batch normalisation and instance normalisation differ in their application?

What does an ROC curve tell you about a model’s performance? What distinguishes the model performance between bagging and boosting?

How would you execute a dot product computation for sparse matrices?

What process would you use to check if it's possible for two strings to match after swapping at most one character?

How does CNN work, and what industries find it useful?

What distinguishes the training processes of supervised, unsupervised, and reinforcement learning?

What do the training and loss graphs imply for a neural network? How do various loss functions affect the shape of the loss graph, and what are some commonly employed ones? Can you discuss the dissimilarities between the training and loss graphs, and how they aid in model optimization and performance?