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.
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.
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 two 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.
After the workshop all participants are invited for lunch.