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Causal Inference and Discovery in Python

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
Author (1):
Aleksander Molak Aleksander Molak
Profile icon Aleksander Molak
LinkedIn
Aleksander Molak is a Machine Learning Researcher and Consultant who gained experience working with Fortune 100, Fortune 500, and Inc. 5000 companies across Europe, the USA, and Israel, designing and building large-scale machine learning systems. On a mission to democratize causality for businesses and machine learning practitioners, Aleksander is a prolific writer, creator, and international speaker. As a co-founder of Lespire, an innovative provider of AI and machine learning training for corporate teams, Aleksander is committed to empowering businesses to harness the full potential of cutting-edge technologies that allow them to stay ahead of the curve.
See other products by 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

To get the most out of this book

The code for this book is provided in the form of Jupyter notebooks. To run the notebooks, you’ll need to install the required packages.

The easiest way to install them is using Conda. Conda is a great package manager for Python. If you don’t have Conda installed on your system, the installation instructions can be found here: https://bit.ly/InstallConda.

Note that Conda’s license might have some restrictions for commercial use. After installing Conda, follow the environment installation instructions in the book’s repository README.md file (https://bit.ly/InstallEnvironments).

If you want to recreate some of the plots from the book, you might need to additionally install Graphviz. For GPU acceleration, CUDA drivers might be needed. Instructions and requirements for Graphviz and CUDA are available in the same README.md file in the repository (https://bit.ly/InstallEnvironments).

The code for this book has been only tested on Windows 11 (64-bit).

Software/hardware covered in the book

Operating system requirements

Python 3.9

Windows, macOS, or Linux

DoWhy 0.8

Windows, macOS, or Linux

EconML 0.12.0

Windows, macOS, or Linux

CATENets 0.2.3

Windows, macOS, or Linux

gCastle 1.0.3

Windows, macOS, or Linux

Causica 0.2.0

Windows, macOS, or Linux

Causal-learn 0.1.3.3

Windows, macOS, or Linux

Transformers 4.24.0

Windows, macOS, or Linux
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Authors (1)

Profile icon Aleksander Molak
LinkedIn
Aleksander Molak is a Machine Learning Researcher and Consultant who gained experience working with Fortune 100, Fortune 500, and Inc. 5000 companies across Europe, the USA, and Israel, designing and building large-scale machine learning systems. On a mission to democratize causality for businesses and machine learning practitioners, Aleksander is a prolific writer, creator, and international speaker. As a co-founder of Lespire, an innovative provider of AI and machine learning training for corporate teams, Aleksander is committed to empowering businesses to harness the full potential of cutting-edge technologies that allow them to stay ahead of the curve.
Read more
See other products by Aleksander Molak

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