Скачать с ютуб Cedars-Sinai: Using Graph Databases for Knowledge-Aware Automated Machine Learning в хорошем качестве

Cedars-Sinai: Using Graph Databases for Knowledge-Aware Automated Machine Learning

Learn how AutoML and AI simplify model building using graph databases like Memgraph. Includes insights on Alzheimer’s drug discovery! About Memgraph: Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization. Website: https://www.memgraph.com Twitter:   / memgraphdb   LinkedIn:   / memgraph   Facebook:   / memgraph