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This work deals with the concept of DevOps and its application in the improvement of machine learning processes. DevOps practices have been increasingly used by software development teams to automate and simplify processes ranging from integration, through testing, approval, implementation, to the final delivery of the application to users. The present study aims to focus on the possibility of applying this concept also in teams that work with machine learning and could benefit from the improvements brought with the adoption of DevOps.doi:10.5281/zenodo.4318113 fatcat:si6hb7zb6veg5nfqde62iajkru