Remove Computer Vision Remove Data Drift Remove DevOps
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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

The repository also features architecture specifically designed for Computer Vision (CV) and Natural Language Processing (NLP) use cases. Security: We have included steps and best practices from GitHub’s advanced security scanning and credential scanning (also available in Azure DevOps) that can be incorporated into the workflow.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

MLOps workflows for computer vision and ML teams Use-case-centric annotations. Data storage and versioning You need data storage and versioning tools to maintain data integrity, enable collaboration, facilitate the reproducibility of experiments and analyses, and ensure accurate ML model development and deployment.

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Real-World MLOps Examples: End-To-End MLOps Pipeline for Visual Search at Brainly

The MLOps Blog

The DevOps and Automation Ops departments are under the infrastructure team. They also need to monitor and see changes in the data distribution ( data drift, concept drift , etc.) Data infrastructure and tool stack for Brainly’s visual search team “Our data stack varies from one project to another.