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Can you discuss the meaning of training and loss graphs in relation to neural networks? How do different loss functions alter the shape of the loss graph, and what are some commonly employed ones? How do the training and loss graphs differ, and how do they aid in optimizing and maximizing model performance?

If you are given an offer from Lyft, which team would be your "dream team" that you'd want to be a part of?

Where do you see your career evolving over the next five years? How does Lyft fit into this plan?

Discuss your ideas on how you would optimize the performance and speed of Spotify for iOS without compromising its design and functionality.

Have you ever gone the extra mile for a project or endeavour? If so, can you provide an example?

In terms of designing a new website, how would you approach planning and testing to accommodate scalability?

Show how to implement the useClickOutside() hook in React for detecting external clicks.

Can you discuss the benefits of using dimensionality reduction techniques in machine learning?

What would you do differently to improve Lyft?