You're reading from Causal Inference and Discovery in Python

Product typeBook

Published inMay 2023

PublisherPackt

ISBN-139781804612989

Edition1st Edition

Concepts

Data Science

Author (1)

Aleksander Molak

References

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Hall N. S. (2007). R. A. Fisher and his advocacy of randomization. Journal of the History of Biology, 40(2), 295–325.

Harrell, F. (2023, February 14). Randomized Clinical Trials Do Not Mimic Clinical Practice, Thank Goodness. Statistical Thinking. https://www.fharrell.com/post/rct-mimic/

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Kostis, J. B., & Dobrzynski, J. M. (2020). Limitations of Randomized Clinical Trials. The American Journal of Cardiology, 129, 109–115.

Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.

Martín, F. M. (2009). The thermodynamics of human reaction times. arXiv, abs/0908.3170.

Muenssinger, J., Matuz, T., Schleger, F., Kiefer-Schmidt, I., Goelz, R., Wacker-Gussmann, A., Birbaumer, N., &...

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Causal Inference and Discovery in Python

Published in: May 2023Publisher: PacktISBN-13: 9781804612989

Author (1)

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.
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