Blogs on MLOps » Lamarr Institute

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

Snippet Library: Supporting efficient coding

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)

Application

Experiment Tracking: Better documentation of ML experiments with MLflow

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)

Application

MLOps: Machine Learning has grown up

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)

Application

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

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....