https://github.com/borgwardtlab/2019-06-machine-learning-for-biology
Introduction to Machine Learning for Biology (Workshop @ D-BSSE Retreat 2019)
https://github.com/borgwardtlab/2019-06-machine-learning-for-biology
latex-document machine-learning machine-learning-tutorials slides
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Introduction to Machine Learning for Biology (Workshop @ D-BSSE Retreat 2019)
- Host: GitHub
- URL: https://github.com/borgwardtlab/2019-06-machine-learning-for-biology
- Owner: BorgwardtLab
- Created: 2019-06-27T15:59:07.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-09-23T12:21:07.000Z (about 4 years ago)
- Last Synced: 2025-06-04T08:20:59.096Z (5 months ago)
- Topics: latex-document, machine-learning, machine-learning-tutorials, slides
- Language: TeX
- Homepage:
- Size: 8.16 MB
- Stars: 7
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Introduction to Machine Learning for Biology
This tutorial provides a basic overview of the most important algorithms
(clustering, classification, and regression) for machine learning. It is
specifically geared towards a non-expert audience with a biology
background. This workshop was a part of the [D-BSSE Retreat
2019](https://bsse.ethz.ch/news-and-events/events/retreat-2019.html).
[Download the slides](Slides.pdf)
Please note: some slides are reserved for group exercises, which are
_not_ covered in the provided materials.
## Contributors
- [Anja Gumpinger](https://github.com/guanja)
- [Caroline Weis](https://github.com/cvweis)
- [Catherine Jutzeler](https://github.com/jutzca)
- [Bastian Rieck](https://github.com/Pseudomanifold)