# Bringing data science and AI/ML tools to infectious disease research
Welcome to the hands-on workshop on Artificial Intelligence methods for Drug Discovery!
## Introduction
This GitBook contains all the necessary information to follow the course, as well as links to the relevant materials.
Each day is organised in four main activities:
* Keynote Lecture: a presentation by H3D and Ersilia staff introducing key concepts that we will put into practice during the day. It will include a 15 min Q/A section
* Skills Workshop: a hands-on training where the course facilitators will walk the participants through a specific ML exercise
* Breakout: participants will be divided in small groups to complete an exercise related to the skills workshop
* Group Discussion: each group will give a short (10 min) presentation on their breakout activity.
### Schedule
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### Extra Content
Contains content we have not covered during the course but can help to those participants that are looking for further information.
### Tools
A short description of the different tools and Python packages we will use during the workshop is available in the [Documents](https://ersilia.gitbook.io/event-fund/documents/tools) section.
### Glossary
During the course, facilitators will collect the terminology specific of the field and add it to the [Glossary](https://ersilia.gitbook.io/event-fund/documents/glossary) in the Document section of this GitBook, with the goal to facilitate understanding and create a lasting resource for the participants.
## Requirements
To attend the course, participants will need:
* Their own laptop
* Access to Internet
* A Google account to access Drive and Colab
## Code of Conduct
Participants are required to abide by the [code of conduct](https://ersilia.gitbook.io/event-fund/documents/code-of-conduct) for the duration of the event, both during the workshop and in social activities before, during or after the event. Breaches of the Code of conduct will be taken seriously.
### Image and media
Images, photos and/or videos will be taken during the event. Please review our [media policy](https://ersilia.gitbook.io/event-fund/documents/image-and-media-policy).
## Funding
This workshop has been possible thanks to the sponsorship of Wellcome Trust through the Event Fund series organised by Code by Science and Society.
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