Graph-Powered Machine Learning | Manning

Graph-Powered Machine Learning | Manning
English | Size: 4.83 GB
Category: Tutorial


I learned so much from this unique and comprehensive book. A real gem for anyone who wants to explore graph-powered ML apps.
Helen Mary Labao-Barrameda, Okada Manila

Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data.

In Graph-Powered Machine Learning you will learn:
The lifecycle of a machine learning project
Graphs in big data platforms
Data source modeling using graphs
Graph-based natural language processing, recommendations, and fraud detection techniques
Graph algorithms
Working with Neo4J
Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices. Author Alessandro Negro’s extensive experience shines through in every chapter, as you learn from examples and concrete scenarios based on his work with real clients!

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