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Most candidates fail because they jump to model selection. Xu forces you to ask:

Are we predicting a probability, a rank, or a continuous value? 3. Data Preparation and Feature Engineering This is where 80% of ML work happens.

The core value of the Alex Xu ML system design philosophy is his rejection of "spaghetti thinking." The PDF breaks the problem into a rigid, repeatable 4-step process.

: Discussing how to serve the model at scale (e.g., batch vs. real-time).

To prepare for a machine learning system design interview, practice the following:

Always suggest a simple model first (e.g., Logistic Regression or Gradient Boosted Trees).