Part 5: Applied Data Science — Industry Contexts
22 Building a recommendation system

Thinking in Uncertainty

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Preface
Part 1: Foundations — Thinking Statistically as an Engineer
Part 2: Inference — From Hypothesis to Evidence
Part 3: Modelling — From Architecture to Algorithms
Part 4: Engineering for Data Science
Part 5: Applied Data Science — Industry Contexts
References
Appendices

Part 5: Applied Data Science — Industry Contexts
22 Building a recommendation system

22 Building a recommendation system

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21 Predicting customer churn

23 Demand forecasting

Source Code

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title: "Building a recommendation system"
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## Draft

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