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December 14, 2022
1:00 pm
1:45 pm
(CET)

Continuous Integration for ML applications - a practical example

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About the session

Machine learning models are becoming obsolete and must be retrained - this is the current widespread tenor. After we have taken a closer look at this thesis, we will show how this can be done. Which components does a CI/CD pipeline for Machine Learning really need - and which are optional. How can the whole thing be implemented without building an entire ML Platform team. And which challenges are still difficult to solve.An experience report including (mis-)decisions that will help to take the right path with your own challenges. In addition, it gives an overview of the essential components of a functioning machine learning platform that focuses on solving business challenges through high automation and low vertical integration.

About the speaker

Matthias Niehoff
Matthias Niehoff
Head of Data at codecentric

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14 Dec
,
1:00 pm
1:45 pm
(CET)
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