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If you've NEVER registered a DOI in your Lattes, check our tutorial!Machine Learning (ML) is becoming a leading technology for several industry automation use cases, from optical character recognition (OCR) to autonomous vehicles. However, developing and managing these models in production is complex, specially because the one developing the model may not have the skills to deploy and monitor it. This work proposes Flowi as a component based ML lifecycle platform that empowers data scientists to bring their knowledge to the model with built-in scalability, experiment tracking, deploy, monitoring and parameter optimization.
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