machine-learning-interview VS system-design-primer

The coding rounds are usually typical Leetcode fare, but the domain round could be anything. It's usually "how would you design a ML system that would do X" where X is something that the company would care about. I would browse this resource to help you: https://github.com/khangich/machine-learning-interview

Minimum Viable Study Plan for ML interviews

I'm doing MLE interviews right now. I was looking at this https://github.com/khangich/machine-learning-interview.

And https://github.com/khangich/machine-learning-interview

✅ donnemartin/system-design-primer: https://github.com/donnemartin/system-design-primer

View on GitHub

I've been giving interviews for past couple of months and this github repo has helped me so much for system design perspective and I can see myself excelling at interviews. - https://github.com/donnemartin/system-design-primer

You'll be on opiod's probably the first 1-2 days, so sleeping should be fine. Everything will be allright, don't worry too much. Just use the time now to prepare for the time after, make sure you go through post-surgery-essentials thread. Once you are out of the OR you won't have the energy to think about those details, so make sure you take that prep serious.

Tooling isn’t architecture. Figure out what you need to handle both personas and volume/throughput and then lay out the capabilities you’ll need. As you lay out points of ingress, egress, consumption you can start to lay out sequences(think in persona and sequence diagrams to express interactions between services). Lastly, evaluate tools that offer some of these capabilities and weigh the trade-offs (there are always trade-offs: https://github.com/donnemartin/system-design-primer).

[1] https://github.com/donnemartin/system-design-primer [2] https://www.teamblind.com/post/My-Approach-to-System-Design-V4SJARdx