{"title":"Alessandro Negro","description":null,"products":[{"product_id":"graph-powered-machine-learning-book-alessandro-negro-9781617295645","title":"Graph-Powered Machine Learning","description":"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 introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices,   optimization approaches, and common pitfalls.       Key Features   ·   The lifecycle of a machine learning project   ·   Three end-to-end applications   ·   Graphs in big data platforms   ·   Data source modeling   ·   Natural language processing, recommendations, and relevant search   ·   Optimization methods       Readers comfortable with machine learning basics.       About the technology    By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it’s important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning.       Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49576813134097,"sku":"GOR013540924","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":49739760501009,"sku":"NGR9781617295645","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":51417599770897,"sku":"CIN1617295647VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":51532884541713,"sku":"CIN1617295647G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617295647.jpg?v=1751434423"},{"product_id":"knowledge-graphs-and-llms-in-action-book-alessandro-negro-9781633439894","title":"Knowledge Graphs and LLMs in Action","description":"Data overload, disconnected context, and stalled machine learning results are common frustrations for data teams. Even with vast datasets and advanced models, insights remain elusive when information is scattered and relationships are unclear. What if you could structure your data in a way that gives it meaning, connects the dots, and powers smarter, faster learning? By building knowledge graphs that integrate with large language models, you can transform disconnected information into actionable, context-rich intelligence that drives real results.     Iterative top-down modeling: Aligns every graph decision with clear business questions.     Ontology and taxonomy starters: Jump-start graph design from your existing structured data.     Python code walk-throughs: Let you replicate techniques on day one, no guesswork.     GNN and BERT integration: Upgrade graphs with deep learning for smarter reasoning and predictions.     Real healthcare and policing cases: Prove scalability on messy, high-stakes datasets.   Knowledge Graphs and LLMs in Action by GraphAware scientists Dr. Alessandro Negro and colleagues delivers a code-rich softcover reference that unites cutting-edge research with field-tested engineering practice.   Starting with business questions, you model ontologies, import varied sources, then iteratively expand your graph. Later chapters layer GNNs, transformers, and reasoning algorithms, showing complete pipelines on full-scale datasets.   You will leave with repeatable workflows, reusable code, and the confidence to connect fragmented data into intelligent, context-aware applications. Stop guessing; start delivering measurable machine learning impact.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51711814304017,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51711814369553,"sku":"NGR9781633439894","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52709578080529,"sku":"NIN9781633439894","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1633439895.jpg?v=1781704378"},{"product_id":"salmoriglio-book-alessandro-negro-9781917970099","title":"Salmoriglio","description":null,"brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":53252509565201,"sku":"NIN9781917970099","price":0.0,"currency_code":"GBP","in_stock":false}]}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-alessandro-negro.oembed","provider":"World of Books ","version":"1.0","type":"link"}