IBM today announced a new machine-learning, end-to-end pipeline starter kit for its Cloud Native Toolkit. The big idea here is that wrangling the myriad open-source and enterprise ML and AI ...

Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

The stable release in March of a related Kubernetes-based automation tool called Kubeflow includes a Jupyter Notebooks controller. Elyra currently supports the Kubeflow Pipelines runtime. Along with ...

Enko has chosen Iterative-backed open source project DVC and Studio to build reproducible and modular pipelines at scale. Iterative and Enko Streamline Machine Learning ... Jupyter Notebooks.

Last year, the team released the Elyra AI toolkit and said the latest launch is a machine-learning, end-to-end pipeline starter kit within the Cloud-Native Toolkit.

Jupyter Lab, the latest web-based interface for Project Jupyter, the de facto standard of interactive environments for running ML experiments, is preinstalled in the VMs for easy access to Notebooks.

The notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a “secure, enterprise-ready environment.” ...