====== Lab3: Inherently interpretable models ======
===== Resources =====
  * Colab: [[https://colab.research.google.com/drive/1QVPqB4mCSj48euPVQwAXFzUr0RB63Kum?usp=sharing|Colab]]
  * Additional reading:
    * [[https://christophm.github.io/interpretable-ml-book/simple.html|Interpretable ML: Chapter 5]]
    * [[https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf|Accurate Intelligible Models with Pairwise interactions]]
    * [[https://arxiv.org/abs/0811.1679|Predictive learning via rule ensembles]] -- RuleFit hteory
    * [[https://arxiv.org/abs/2210.05189| Neural Networks are Decision Trees]]
  * Additional watching:
    * [[https://www.youtube.com/watch?v=3CC4N4z3GJc&list=PLc-A_ClQmXKDlVbr9V3VhDZC5jJsPBN3Q&index=3|Recap on Gradient Boosting]]