Blogs on MLOps » Lamarr Institute

00 Blog Hammam 1 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Snippet Library: Supporting efficient coding

Hammam Abdelwaha,

22. September 2021

Writing code is an essential part of a data scientist's everyday life. The Snippet Library extension provides support and enables the quick and easy development of data analysis workflows....

00 Blog Martens - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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Experiment Tracking: Better documentation of ML experiments with MLflow

Claudio Martens,

15. September 2021

Even in the experimental phase of Machine Learning, training processes can be structured clearly and comprehensibly. This blog post presents a helpful tool for this purpose....

00 Blog Zimmermann Wegener EN - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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MLOps: Machine Learning has grown up

Alexander Zimmermann, Dennis Wegener,

23. June 2021

When applying ML solutions in operational settings, users face various technical and organizational challenges. MLOps describes a holistic process approach that addresses these challenges with suitable methods and tools. ...

00 Blog Peeren - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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On the Edge – The deployment for AI of the future?

Christian Peeren,

07. April 2021

Edge Deployment enables the secure and resource-efficient processing of large data streams in real time as well as decentralized data management and training in Machine Learning. AI-based applications can thus be brought into production....