Key Aspects of Machine Learning Operations, Explainedby@julie99
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Key Aspects of Machine Learning Operations, Explained

August 8th 2020
4 min
by @julie99 550 reads
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Machine learning is a general method for extending and optimizing the development options functionality, widely applied since the 50s of the 20th century. The development of AI and computing capabilities build-up, autonomous MLOps platforms began to develop rapidly and became an integral part of computer systems development. MLOps consists of whole full-fledged tests and taxonomies that give specialists an understanding of the system performance and keys to each individual iteration process. The main difficulty of MLOps is the construction of correct and productive cooperation between database specialists and developers.

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by Julie Stephan @julie99.Technologist and product experience leader that bridges business, engineering, and design. Part time researcher.
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