17 Oct 2019
MACHINE LEARNING MODELS IN PRODUCTION: DIFFERENT APPROACHES AND THE ROLE OF ML LIFECYCLE MANAGEMENT TOOLS
There are different approaches to deploy and manage Machine learning models in production. Depending on the use case one approach could be better than another. In this talk we will look into these different approaches and how to choose one over another. For an enterprise system just deploying the models in production is not sufficient, and just like any other application ML based projects also have a life cycle which needs to be managed. We will look into what different ML lifecycle management tools are out there and why it is important that we use a ML lifecycle management tool in our enterprise.
Researcher, Data Science and Big Data Analytics Unit
*NOTICE: This workshop is addressed to a technical profile
This workshop will be done in English. The organization will not offer simultaneous translation service.
Limited places: 70. Places will be assigned in order of registration