Part 5: Applied Data Science — Industry Contexts
23 Demand forecasting

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
23 Demand forecasting

23 Demand forecasting

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22 Building a recommendation system

24 Fraud detection

Source Code

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title: "Demand forecasting"
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::: {.callout-warning}

## Draft

This chapter is not yet written.
:::

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