Module 1: AI and ML essentials

The ML lifecycle

A practical lifecycle includes problem definition, data collection, exploration, preparation, training, evaluation, deployment, and monitoring. Business success criteria should be defined first.

Practice exercise

Write measurable success criteria for a spam detector.

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