Source: thenewstack.io
Kubeflow: Where Machine Learning Meets the Modern InfrastructureCategory: Data, Kubernetes, Infrastructure, machine-learning, artificial-intelligence
This post is the first in a series of articles exploring the Kubeflow machine learning platform. Kubeflow is an open source, niche, a specialized machine learning platform that takes advantage of Kubernetes capabilities to deliver end-to-end workflow to data scientists, ML engineers, and DevOps professionals. This article series will introduce Kubeflow and its capabilities to developers and operators.
The key advantage of using Kubeflow is that it hides away the complexity involved in containerizing the code required for data preparation, training, tuning, and deploying machine learning models.
Feature EngineeringFeast (Feature Store), an optional component of Kubeflow, is an operational data system for managing and serving machine learning features to models in production.
The key advantage of using Kubeflow is that it hides away the complexity involved in containerizing the code required for data preparation, training, tuning, and deploying machine learning models.
Feature EngineeringFeast (Feature Store), an optional component of Kubeflow, is an operational data system for managing and serving machine learning features to models in production.
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