Introduction to Causal Inference from a Machine Learning Perspective

by Neal, Brady

Although, the course text is written from a machine learning perspective, this course is meant to be for anyone with the necessary prerequisites who is interested in learning the basics of causality. I do my best to integrate insights from the many different fields that utilize causal inference such as epidemiology, economics, political science, machine learning, etc. You can see the tentative course schedule below.

This is a book draft, so I greatly appreciate any feedback you’re willing to send my way. If you’re unsure whether I’ll be receptive to it or not, don’t be.

bradyneal.com/Introduction_to_Causal_...

Genres: Technology

132 pages, ebook

Published November 1, 2020

Reviews

[Sean Richardson · Rating 5 out of 5]

Great alongside the lectures.

[Nadvornix · Rating 4 out of 5]

I focused on video lectures and took this as lecture notes. It will probably remain forever unfinished.

[Marvin Scherer · Rating 5 out of 5]

Amazing book! It really helps to understand all the intricacies of Causal Inference in the most user-friendly way. Loved it, for sure a resource I will come back to again and again. Can only recommend!