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.
A wonderful introduction to graphs for machine learning enthusiasts, as well as a great entrée into machine learning for graph experts.
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There is a lot of really great material here. The author really knows his stuff.