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As an expert in information retrieval, could you share how tf-idf can be used to identify relevant content among the millions of data available on the internet?

Build a service for compressing URLs like TinyURL.

What methodology would you apply to locate the subsequence with the maximum sum in a series of numbers?

Explain the contrast between L1 and L2 regularization methods used in regression analysis, and when one would be favored over the other.

In your ML projects, how have you leveraged TensorFlow or PyTorch?

Could you elaborate on the significance of training and loss graphs in a neural network? What are some commonly used loss functions in this context, and how do they affect the shape of the loss graph? In what ways do the training and loss graphs differ, and how do they contribute towards optimizing and enhancing model performance?

Can you explain the Random Forest methodology and its use in data analysis?

Can you outline the key features and elements of the architecture you would design for Bing image search?

Can you detail the differences between batch normalisation and instance normalisation?

Design a system that can efficiently update recommendation models in real-time as user interactions occur.