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 5 years ago)
• Default Branch: master
• Last Pushed: 2021-09-23T12:21:07.000Z (about 3 years ago)
• Last Synced: 2024-09-24T05:32:24.552Z (9 days ago)
• Topics: latex-document, machine-learning, machine-learning-tutorials, slides
• Language: TeX
• Homepage:
• Size: 8.16 MB
• Stars: 7
• Watchers: 2
• 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)