Registration is now closed.
You can see the first edition here, with most of the talks attached as video files.
The course is to be considered as "starting level" for Machine Learning topics.The hackathon will be organized over 3 days, distributed as
Upon registration, users will be asked to express a first and second preference for a one of the use cases offered. We will try to
The list of available use cases for the hackathon are currently (there could be additions depending on the registration process and on the status of other opportunities):
NOTE: users will use INFN-Cloud resources and this does not require any specific INFN-Cloud authorization.
Please read and comply with the recommendations in the side menu "technical prerequisite".
The hackathon is to be considered as entry level for Machine Learning. Still, some fluency in the tools to be used is a prerequisite and it is needed to speed up the tutoring. In particular, we expect:
In case you do not feel proficient enough in the previous items, we suggest a list of entry level tutorial / documentation we advise to read and test before the Hackathon, in order to be able to follow with profit the presentations and the hands-on. This can be found in the side menu, at the entry "Pre-tutorial Self-teaching".
Attending the hackathon is free and happens via the entry in the side menu.
The number of participants can be limited, depending on the tutoring and technical capabilities.
Upon registration, we will require:
Please consider visiting again this page from time to time: we will add more resources for the hackathon and related projects as soon as they become available,.