Lecture 16 Interpretable Machine Learning

Summary

Most of the approaches described in this course create models that, while they may produce useful results, are indecipherable to ... For more information about Stanford's In 2018 he released the first version of his incredible online book, Talk list is at interpretablevision.github.io/ ... practice example success example of current state of the art ... domains linear model actually uh gives you a way to uncover latent structures so i'm using Abstract: Recent years have seen a revival of deep neural networks in This is a talk for the paper with the same name: arxiv.org/abs/2010.09337 If you want to learn more about specific methods ... Angel Feliz leads a discussion of Chapter Computational Genomics Winter Institute 2018 "