From 2fea5655ec17c907f47ed1c4d88b5a06664db95b Mon Sep 17 00:00:00 2001 From: ph_ <jpatrickhall@gmail.com> Date: Sat, 20 May 2023 13:37:21 -0400 Subject: [PATCH 1/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 062378d..f312b24 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha * [Primer on Technical Malpractice](https://docs.google.com/presentation/d/1cZeaoIp4cQsVY_gj2a5Pg7ygexepQZRS-ZEn6n2QqEU/edit?usp=sharing) * [Whiteboard Notation](https://docs.google.com/presentation/d/1Axf9dizaE3XvGRelBHfsnAlMUPFuMExQ2WNVwQBKMrw/edit?usp=sharing) * [Lecture Notes](tex/lecture_1.pdf) -* [Assignment 1](https://raw.githubusercontent.com/jphall663/GWU_rml/master/assignments/tex/assignment_1.pdf) +* [Assignment 1](assignments/tex/assignment_1.pdf) * [Model evaluation notebook](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/assignments/eval.ipynb) * [Full evaluations results](https://github.com/jphall663/GWU_rml/blob/master/assignments/model_eval_2022_06_13_09_47_08.csv) * Software Examples: From addd782ee6bbaf594730e102720b1ecccf98e02a Mon Sep 17 00:00:00 2001 From: ph_ <jpatrickhall@gmail.com> Date: Sat, 20 May 2023 13:38:25 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f312b24..14b4b6d 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ Materials for a technical, nuts-and-bolts course about increasing transparency, fairness, security and privacy in machine learning. -* Lecture 1: Self-explainable Machine Learning Models +* Lecture 1: Explainable Machine Learning Models * Lecture 2: Post-hoc Explanation * Lecture 3: Discrimination Testing and Remediation * Lecture 4: Machine Learning Security @@ -13,7 +13,7 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha *** -## Lecture 1: Self-explainable Machine Learning Models +## Lecture 1: Explainable Machine Learning Models  <sub><sup>**Source:** [Simple Explainable Boosting Machine Example](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1_ebm_example.ipynb?flush_cache=true) (Jupyter)</sup></sub>