Building and sharing machine learning demo applications within life sciences: a practical tutorial
November 16, 2023 @ 13:30 – 15:30 CET
This workshop is part of the DDLS Annual Conference 2023: The emerging role of AI in data-driven life science. This event is also part of Tools for AI/ML research in life sciences event series arranged by the SciLifeLab Data Centre.
Title: Building and sharing machine learning demo applications within life sciences: a practical tutorial
Organizer: AI Data Engineers from the SciLifeLab Serve team.
Where and when: November 16, 2023 at 13:30-15:30 at SciLifeLab Solna (Tomtebodavägen 23A, Solna)
Abstract: It is becoming increasingly popular to share machine learning models with the community as web applications with an easy-to-use interface. Users can then adjust parameters or submit their own input and see the predictions generated by the underlying model. This tutorial is aimed at researchers working within life sciences who work with machine learning models but do not have the skills to build applications for web. During the tutorial we will start from a trained model and demonstrate step by step how you can create a graphical user interface for your application, prepare it for deployment, and make it available on the web with a URL. We will demonstrate the use of specific tools which make this process easy and doable in under an hour.
The workshop will last for 2 hours with a break in the middle. We have room to accept 30 participants, on the first come first served basis. Those registered after that will be placed on the waiting list.
Since there is a limited number of spots in this workshop please sign up only if you intend to attend.
This event is now full, you can register for the waiting list only (in case we received a cancellation). We will organize similar workshops in the future, it will be announced in the same event series.
More about the event series:
Tools for AI/ML research in life sciences is an event series by the SciLifeLab Data Centre aimed at life science researchers who use machine learning methods in their work. The goal of the events in this series is to provide introductions to different tools for ML research but also to foster discussions around our practices and how they can be improved. The events takes place virtually (over Zoom) and are open to researchers in Sweden and beyond. Each event is scheduled for 60 minutes, consisting of a talk and an extended discussion. Follow the page of the event series to learn about future seminars.
For questions about the events please contact the organizing team by emailing email@example.com
Scientific lead: Prof. Ola Spjuth, SciLifeLab Data Centre and Uppsala University
Contact information: firstname.lastname@example.org