Causal Inference with Machine Learning - EXPLAINED!

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b Joins us on D I S C O R D: https://discord.gg/3C6fKZ3E5m Please like and S U B S C R I B E: https://www.youtube.com/c/CodeEmporium/sub_confirmation=1 INVESTING [1] Webull (You can get 3 free stocks setting up a webull account today): https://a.webull.com/8XVa1znjYxio6ESdff REFERENCES [1] RCTs may not model ATE exactly as we think. But more importantly, they don’t measure ITEs: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019115/ [2] Literature Review of Causal Inference + Uplift modeling: https://proceedings.mlr.press/v67/gutierrez17a/gutierrez17a.pdf [3] Quick intro to uplift modeling: https://towardsdatascience.com/a-quick-uplift-modeling-introduction-6e14de32bfe0 [4] Why Uplift modeling in marketing is important: https://towardsdatascience.com/why-every-marketer-should-consider-uplift-modeling-1090235572ec [5] Uplift Modeling: https://link.springer.com/content/pdf/10.1007/s10115-011-0434-0.pdf [6] Code for causalml: https://github.com/uber/causalml [7] Section 3 here shows the assumptions that need to be met for an RCT to give an estimate of ATE that is representative of the population: https://rss.onlinelibrary.wiley.com/doi/10.1111/rssa.12094 [8] Causal ML documentation about methodologies to determine CATE: https://causalml.readthedocs.io/en/latest/methodology.html#meta-learner-algorithms [9] MIT lecture on covariate adjustment & matching: https://www.youtube.com/watch?v=g5v-NvNoJQQ [10] Microsoft’s Blog post illustrating different methods to determine CATE: https://medium.com/data-science-at-microsoft/causal-inference-part-2-of-3-selecting-algorithms-a966f8228a2d [11] Wayfair Tech blog that succinctly explains Uplift Decision Trees (I’ll probably make a video on this in the future): https://www.aboutwayfair.com/tech-innovation/modeling-uplift-directly-uplift-decision-tree-with-kl-divergence-and-euclidean-distance-as-splitting-criteria [