A talk by Marco Ghilardi from QuasiScience.
This session covers Networks and Recommendation Systems.
We will look into the details of the implementation of recommendation systems using graphs. We will also investigate how this implementation can make the result more transparent and help clarify many other aspects of the data. The flow of the session will follow the progression and lessons learned during the real development of the project. This is to make the content more memorable and enjoyable while delving deep into the technical aspects.
Technical Level: Technical practitioner.
This session was part of the Data Science Festival MayDay event 2024. Find out more at datasciencefestival.com/event...
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