Christoph Molnar personal blog
Interpretable Machine Learning
Machine learning is part of our products, processes, and research. But computers usually don’t explain their predictions , which can cause many problems, ranging from trust issues to undetected bugs. This book is about making machine learning models and their decisions interpretable.
- Points
- 192
- HN comments
- 33
- Submissions
- 2
- Cited by
- 4 commenters
AI & Machine LearningDatabases & Data2019
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Jul 9, 2019 | Interpretable Machine Learning by skilled | 192 | 23 |
| Mar 30, 2018 | Interpretable Machine Learning: A Guide for Making Black Box Models Explainable by ghosthamlet | 98 | 10 |
Cited in comments
Linked from 4 Hacker News comments by 4 different people, from Jul 2018 to Apr 2021.
Most recent:
- disgruntledphd2 · Apr 2, 2021
- nwsm · Nov 30, 2020
- polkapolka · Oct 30, 2018
- jclos · Jul 19, 2018
