This repository contains the course material for the programming tutorials in week 1 & 2. The table gives an overview on the topics covered within the tutorials.
| Datum | Zeit | Raum | Titel | Referenten |
|---|---|---|---|---|
| 2024-01-22 | 10:15-13:00 | CIPOM | Grundkonzepte | Malte Schmieding |
| 2024-01-23 | 10:15-13:00 | CIPOM | Numpy und Pandas | Sebastian Boie |
| 2024-01-24 | 10:15-13:00 | CIPOM | Matplotlib und Seaborn | Marija Tochadse |
| 2024-01-25 | 10:15-13:00 | CIPOM | Scikit-learn | Malte Schmieding |
| 2024-01-26 | 10:15-13:00 | CIPOM | Keras | Moritz Seiler |
| 2024-01-30 | 10:15-13:00 | CIPOM | Patientenversorgung | Sebastian Boie |
| 2024-02-01 | 10:15-13:00 | CIPOM | Computer Vision | Marc-Andre Schulz |
There are different options to access the course material. Here, we recommend to use one of the following:
- Click on the linked title of the lesson you want to open.
- Log in with your Google account of choice.
- Save a copy in your Google Drive by clicking on
Copy to Drive. - In the new tab, click on
Connect to environment(top right). Accept potential warnings about the origin of the notebooks. - Follow the lesson!
The Binder Project is an open community that makes it possible to create sharable, interactive, reproducible environments. No account is required to access and execute the tutorial material.
- Go to Binder
- Insert to URL of this GitHub repository (https://github.com/ritterlab/ai_in_medicine) in the GitHub repository field.
- Click on the 'launch' button to create a Docker image of the environment.
- Select the relevant Jupyter notebook for the tutorial.
Binder allows only a memory of 2GB per container, you have to use a copy of the COVID-19 dataset for your tutorial. Moreover, Binder does not offer GPU support.
It is recommended to install the Anaconda Distribution which is a Python/R data science distribution and a collection of over 7,500+ open-source packages including a package and environment manager. Please follow the installation instructions for the local installation.
- After the installation you can either clone the GitHub repository or download the repository as a zip-file by clicking on the green
Codebutton and selectingDonwload ZIP - Launch the Jupyter Notebook App.
- Access the relevant directory.
- Open the relevant Jupyter notebook.
tba