There is no single "correct" answer in system design. If you choose a complex deep learning model over a simple logistic regression, explain why the marginal gain in accuracy justifies the massive increase in compute costs and latency.
Traditional system design focuses on scalability, hardware, and data flow (e.g., load balancers, databases, sharding). Machine learning system design introduces a layer of . There is no single "correct" answer in system design
To help you optimize your study strategy or dive deeper into a specific architectural pattern, let me know: and data flow (e.g.
Identify implicit signals (clicks, watch time) and explicit signals (likes, search queries). watch time) and explicit signals (likes