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What Is GitOps and How Can It Support Machine Learning Operations?


GitOps is a way of implementing continuous delivery for cloud native applications. It is based on the idea of using Git as a single source of truth for declarative infrastructure and applications. In GitOps, the desired state of the infrastructure and applications is stored in version control, and an automated process is used to ensure […]

The post What Is GitOps and How Can It Support Machine Learning Operations? appeared first on DATAVERSITY.


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Author: Gilad David Maayan

What Is a Feature Store in Machine Learning?


A feature store is a centralized platform for managing and serving the features used in machine learning (ML) models. A feature is an individual measurable property or characteristic of data that is used as input to an ML model. In order to build effective ML models, it is critical to have high-quality, well-engineered features that […]

The post What Is a Feature Store in Machine Learning? appeared first on DATAVERSITY.


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Author: Gilad David Maayan

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