Why graph databases are becoming mainstream and their connection to AI, ML and big data use cases.

But Neptune also exemplifies another important development in graph databases: integration of data science and machine learning features.

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional ...

That’s a learning curve.” Sahni feels that some applications should use a combination of relational and graph databases, with each type powering the individual functions that it does best.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.