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You're reading from  Causal Inference and Discovery in Python

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781804612989
Edition1st Edition
Concepts
Data Science
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Author (1)
Aleksander Molak
Aleksander Molak
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Aleksander Molak

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 about Aleksander Molak

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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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Causal Inference and Discovery in Python
Published in: May 2023Publisher: PacktISBN-13: 9781804612989
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Aleksander Molak

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 about Aleksander Molak

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