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Causal Inference - EXPLAINED!

CodeEmporium
141K subscribers
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81K views 3 years ago
Follow me on M E D I U M: https://towardsdatascience.com/likeli... Joins us on D I S C O R D:   / discord   Please like and S U B S C R I B E:    / codeemporium   REFERENCES [1] MIT lecture on Causal Inference. Great for the basic idea and big picture:    • 14. Causal Inference, Part 1   [2] Great 3 part blogpost that delves into more detail by Microsoft:   / causal-inference-part-1-of-3-understanding...   [3]: More about X-learner and how it overcomes T-learner (high variance) and S-learners (high bias):    • 6.3 - TARNet and X-Learner   [4] Good Discussion on when Partial Dependency Plots can be used to infer causality: https:/ …...more
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Causal Inference - EXPLAINED!
Follow me on M E D I U M: https://towardsdatascience.com/likeli... Joins us on D I S C O R D:   / discord   Please like and S U B S C R I B E:    / codeemporium   REFERENCES [1] MIT lecture on Causal Inference. Great for the basic idea and big picture:    • 14. Causal Inference, Part 1   [2] Great 3 part blogpost that delves into more detail by Microsoft:   / causal-inference-part-1-of-3-understanding...   [3]: More about X-learner and how it overcomes T-learner (high variance) and S-learners (high bias):    • 6.3 - TARNet and X-Learner   [4] Good Discussion on when Partial Dependency Plots can be used to infer causality: https://web.stanford.edu/~hastie/Pape... [5] Blog based on 2: https://lmc2179.github.io/posts/pdp.html [6]: CMU blog post on causality: https://blog.ml.cmu.edu/2020/08/31/7-... [7] Microsoft’s blog on causal inference:   / causal-inference-part-1-of-3-understanding...   [8] Advanced Discussion: https://www.inference.vc/untitled/ [9] 3 layers of the causal hierarchy: http://web.cs.ucla.edu/~kaoru/3-layer...

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CodeEmporium

141K subscribers