The Life Cycle of a Supervised Learning Project

76 min
Block 3 — The complete machine learning life cycle
Objective
master the full sequence of a supervised learning project, from the statement of a business problem through to the surveillance of a model in production; name the seventeen stages, justify their order, identify the legitimate return loops, know the questions each stage must settle, the deliverable it produces, the criterion that authorizes moving on, and the failure causes specific to each phase.
Estimated duration
55 minutes
Prerequisites
chapters 001 to 011, in particular 002 (when machine learning is warranted), 006 (features and target), 010 (classification or regression) and 011 (types of classification)
Associated quizzes
012.1-quiz-lifecycle-overview.md to 012.7-quiz-effort-and-failures.md

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This lesson is part of the “The Life Cycle of a Machine Learning Project” module

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