In the context of interview preparation, "exclusive" refers to the depth of insider knowledge provided. Most online blogs give you a surface-level overview. Xu’s work provides a "black-box" view of these systems.
Most candidates fail because they jump to model selection. Xu forces you to ask: In the context of interview preparation, "exclusive" refers
👇 Drop a comment with "ML" and I’ll DM you the details. (Or check the link in comments!) Most candidates fail because they jump to model selection
| Component | Recommendation | |-----------|----------------| | | Centralized repository for online/offline features (e.g., Feast) | | Training pipeline | TFX, Kubeflow, or SageMaker with versioned datasets | | Model registry | MLflow, Weights & Biases | | Serving | TorchServe, TensorFlow Serving, or serverless (AWS Lambda) | | Online vs. batch | Online: real-time API (e.g., KFServing). Batch: scheduled Spark jobs | | Experimentation | Holdout, cross-validation, time-series split for temporal data | batch | Online: real-time API (e