Continuous Integration for Machine Learning Applications - A Practical Example

Date:

Wednesday, Oct 5, 2022

Time:

3:05 pm

Room:

Rubin

Summary:

Machine learning models are becoming obsolete and must be retrained – this is the current widespread tenor. Is this actually true? And if yes, 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 a complete Machine Learning Platform team? And which challenges are still difficult to solve at present? A field report including (mis)decisions, which will help to choose the right path for your own challenges.

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