Appendices
C Recommended reading and resources

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

Appendices
C Recommended reading and resources

Appendix C — Recommended reading and resources

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B The SE to DS concept bridge

D Exercise answers

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