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Challenges and Solutions for Building Machine Learning Systems
InfoQ - AI, ML & Data Engineering www.infoq.com
According to Camilla Montonen, the challenges of building machine learning systems are mostly creating and maintaining the model. MLOps platforms and solutions contain components needed to build machine systems. MLOps is not about the tools; it is a culture and a set of practices. Montonen suggests that we should bridge the divide between practices of data science and machine learning engineering.
By Ben Lindersagile conferences ai bridge build building challenges collaboration components culture culture & methods data science learning systems machine machine learning ml & data engineering mlops nordevcon platforms practices set solutions systems tools