Review of Graph-Powered Machine Learning, Alessandro Negro, Manning Publication 2020 - Archive ouverte HAL
Article Dans Une Revue (Compte-Rendu De Lecture) Année : 2020

Review of Graph-Powered Machine Learning, Alessandro Negro, Manning Publication 2020

Résumé

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning teaches you how to use graph-based algorithms and data organization strategies to develop superior machine learning applications.
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hal-03046388 , version 1 (08-12-2020)

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  • HAL Id : hal-03046388 , version 1

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Arnaud Castelltort. Review of Graph-Powered Machine Learning, Alessandro Negro, Manning Publication 2020. 2020. ⟨hal-03046388⟩
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