AI/ML: Persistent workspaces for multiple users

The first challenge for an AI/ML practitioner is gathering the necessary data to feed the process. The solution? Advanced planning algorithms that organize data better than humans in far less time.

AI/ML resources

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Article

Red Hat Developer roundup: Best of January 2022

January 26, 2022

Don't miss a thing! Here's a roundup of new articles, tutorials, and more published this month on Red Hat Developer.

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Article

How to self-host a Python package index using Pulp

January 17, 2022

Find out how developer teams use Pulp to maintain and share their own Python package repositories. Examples are based on the Operate First deployment.

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Article

Extracting dependencies from Python packages

January 14, 2022

Explore the challenges involved in extracting metadata and dependency information from Python packages, then learn how Project Thoth works around them.

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More machine learning with OpenShift Data Science

December 23, 2021

Use Red Hat OpenShift Data Science to solve two common use cases for machine learning: Accessing Amazon S3 data and creating TensorFlow models.

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Article

Build and extend containerized applications with Project Thoth

November 25, 2021

Learn how Thoth synthesizes software and hardware requirements to provide intelligent Python package recommendations for developers and data scientists.

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Article

Access more data from your Jupyter notebook

November 22, 2021

In this short how-to video, learn how to use Starburst Galaxy to pull data sources into a Jupyter notebook powered by Red Hat OpenShift Data Science.

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