You're reading from Causal Inference and Discovery in Python

Product type Book

Published in May 2023

Publisher Packt

ISBN-13 9781804612989

Pages 456 pages

Edition 1st Edition

Languages

Concepts

Data Science

Author (1):

Aleksander Molak

Table of Contents (21) Chapters

Preface

1. Part 1: Causality – an Introduction

2. Chapter 1: Causality – Hey, We Have Machine Learning, So Why Even Bother?

3. Chapter 2: Judea Pearl and the Ladder of Causation

4. Chapter 3: Regression, Observations, and Interventions

5. Chapter 4: Graphical Models

6. Chapter 5: Forks, Chains, and Immoralities

7. Part 2: Causal Inference

8. Chapter 6: Nodes, Edges, and Statistical (In)dependence

9. Chapter 7: The Four-Step Process of Causal Inference

10. Chapter 8: Causal Models – Assumptions and Challenges

11. Chapter 9: Causal Inference and Machine Learning – from Matching to Meta-Learners

12. Chapter 10: Causal Inference and Machine Learning – Advanced Estimators, Experiments, Evaluations, and More

13. Chapter 11: Causal Inference and Machine Learning – Deep Learning, NLP, and Beyond

14. Part 3: Causal Discovery

15. Chapter 12: Can I Have a Causal Graph, Please?

16. Chapter 13: Causal Discovery and Machine Learning – from Assumptions to Applications

17. Chapter 14: Causal Discovery and Machine Learning – Advanced Deep Learning and Beyond

18. Chapter 15: Epilogue

19. Index

20. Other Books You May Enjoy

References

Alexander, J. E., Audesirk, T. E., & Audesirk, G. J. (1985). Classical Conditioning in the Pond Snail Lymnaea stagnalis. The American Biology Teacher, 47(5), 295–298. https://doi.org/10.2307/4448054

Archie, L. (2005). Hume’s Considered View on Causality. [Preprint] Retrieved from: http://philsci-archive.pitt.edu/id/eprint/2247 (accessed 2022-04-23)

Falcon, A. “Aristotle on Causality”, The Stanford Encyclopedia of Philosophy (Spring 2022 Edition), Edward N. Zalta (ed.). https://plato.stanford.edu/archives/spr2022/entries/aristotle-causality/. Retrieved 2022-04-23

Gopnik, A. (2009). The philosophical baby: What children’s minds tell us about truth, love, and the meaning of life. New York: Farrar, Straus and Giroux

Gutierrez, P., & Gérardy, J. (2017). Causal Inference and Uplift Modelling: A Review of the Literature. Proceedings of The 3rd International Conference on Predictive Applications and APIs in Proceedings of Machine Learning Research, 67, 1-13

Hernán M. A., & Robins J. M. (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC

Hume, D., & Millican, P. F. (2007). An enquiry concerning human understanding. Oxford: Oxford University Press

Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux

Lorkowski, C. M. https://iep.utm.edu/hume-causation/. Retrieved 2022-04-23

Stahl, A. E., & Feigenson, L. (2015). Cognitive development. Observing the unexpected enhances infants’ learning and exploration. Science, 348(6230), 91–94. https://doi.org/10.1126/science.aaa3799

You're reading from Causal Inference and Discovery in Python

Table of Contents (21) Chapters

References

Authors (1)

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