EPISODE · Mar 15, 2022 · 46 MIN
Embeddings & Machine Learning
from Civic Conversations · host HAKKARI GOWENT FM
This podcast explores GraphSAGE, graph-native machine learning, and the role of model catalogs in building intelligent applications with Neo4j. It discusses node embeddings, graph-based prediction techniques, and how connected data can enhance machine learning performance. Perfect for data scientists, AI engineers, developers, and technology enthusiasts interested in graph analytics and next-generation machine learning.
What this episode covers
This podcast explores GraphSAGE, graph-native machine learning, and the role of model catalogs in building intelligent applications with Neo4j. It discusses node embeddings, graph-based prediction techniques, and how connected data can enhance machine learning performance. Perfect for data scientists, AI engineers, developers, and technology enthusiasts interested in graph analytics and next-generation machine learning.
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Embeddings & Machine Learning
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