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WM-SEMERU / ds4se

Data Science for Software Engineering (ds4se) is an academic initiative to perform exploratory and causal inference analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.
https://wm-csci-435-f19.github.io/ds4se/
Apache License 2.0
7 stars 3 forks source link

Complete part 1 and 2 of the doWhy tutorial presented at ACM KDD 2018 #103

Open scheurich-sarah opened 3 years ago

scheurich-sarah commented 3 years ago

This is a comprehensive tutorial that introduces the topics of causal inference, counterfactual frameworks, and intuition and shows how to implement this process with the doWhy library.

102

scheurich-sarah commented 3 years ago

The first part was and introduction to causal concepts. The second part introduced causal inference methods. The discussion of the library was all high level. Not really what I was hoping for, and it's particularly hard to grok without a voice track. I found one of the authors doing a voice track here that is helpful. (https://kellogg-northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7ebafe1f-8af3-46a2-8308-a909014772c0) The introduction to the library and the source have been the most helpful for understanding doWhy on a lower level so far.