Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › AI/ML Engineer

Data collection and preprocessing

feature · part of AI/ML Engineer

AI/ML engineers gather large datasets from various sources and clean, preprocess, and structure the data for ML models. This includes handling missing data, removing outliers, normalizing or scaling features, and encoding categorical variables. For example, in retail, engineers collect customer transaction data, remove invalid transactions, normalize spending amounts, and encode payment methods to make data usable for modeling.

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