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Published inMay 2023
PublisherPackt
ISBN-139781804612989
Edition1st Edition
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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.
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References

Abrevaya, J., Hsu, Y., & Lieli, R.P. (2014). Estimating Conditional Average Treatment Effects. Journal of Business & Economic Statistics, 33, 485–505.

Angrist, J. D., & Pischke, J.-S. (2008). Mostly harmless econometrics. Princeton University Press.

Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. The Review of Economics and Statistics, 84(1), 151–161.

Elze, M. C., Gregson, J., Baber, U., Williamson, E., Sartori, S., Mehran, R., Nichols, M., Stone, G. W., & Pocock, S. J. (2017). Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies. Journal of the American College of Cardiology, 69(3), 345–357. https://doi.org/10.1016/j.jacc.2016.10.060

Facure, M., A. (2020). Causal Inference for The Brave and True. https://matheusfacure.github.io/python-causality-handbook/landing-page.html

Gelman, A., & Hill, J. (2006). Analytical...

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Causal Inference and Discovery in Python
Published in: May 2023Publisher: PacktISBN-13: 9781804612989

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