(Part 1) DIY Machine Learning Plattform - Intro & Pipelines


In my day job I have the privilege of building and deploying machine learning (ML) solutions for a large company using state of the art cloud technologies. While extremely powerful and versatile, the effort to serve such ML-models in a scalable, realiable and repoducible way is quite high and incorporating new technologies and architectural solutions into existing software stacks requires significant time and effort.

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