CSC-177beginner

Data, Features & Labels: Components & Representation

Machine learning begins with data representation. Careful data design supports forecasting, classification, recommendation, anomaly detection, language systems, computer vision, scientific analysis, and responsible AI evaluation.

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Data, Features & Labels: Components & Representation

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CSC-176Data, Features & Labels: Core Concepts→

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CSC-178Data, Features & Labels: How It Works→

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Machine learning begins with data representation.

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Models infer statistical relationships from the examples they receive.

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Exploratory statistics, data dictionaries, missingness analysis, distribution plots, duplicate checks, label audits, subgroup analysis, and train/test comparisons reveal dataset quality and representativeness.