What is the goal of Kubeflow?
Wednesday, 02 August 2023
by EITCA Academy
Kubeflow is an open-source platform that aims to simplify the deployment and management of machine learning workflows on Kubernetes. The goal of Kubeflow is to provide a unified and scalable solution for running machine learning workloads in a distributed and containerized environment. One of the main objectives of Kubeflow is to enable data scientists and
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, Kubeflow - machine learning on Kubernetes, Examination review
Tagged under:
Artificial Intelligence, Collaboration, Kubeflow, Kubernetes, Machine Learning, Reproducibility
What are the primary options for serving an exported model in production?
Wednesday, 02 August 2023
by EITCA Academy
When it comes to serving an exported model in production in the field of Artificial Intelligence, specifically in the context of Google Cloud Machine Learning and Serverless predictions at scale, there are several primary options available. These options provide different approaches to deploying and serving machine learning models, each with their own advantages and considerations.