This monograph showcases agile development of deep learning applications, focusing on recommendation systems. It presents projects in diverse contexts: personalized music playlists via text sentiment analysis, a knowledge-sharing platform using graph neural networks, automated IT specialist selection with graph autoencoders, and a creative writing platform with recommendations. It emphasizes modern techniques (NLP, GNN) and microservice architecture. The work highlights agile methodologies, iterative development, and business analysis (ML Canvas). Practical cases demonstrate enhanced user experience, improved enterprise efficiency, and innovative tools.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph showcases agile development of deep learning applications, focusing on recommendation systems. It presents projects in diverse contexts: personalized music playlists via text sentiment analysis, a knowledge-sharing platform using graph neural networks, automated IT specialist selection with graph autoencoders, and a creative writing platform with recommendations. It emphasizes modern techniques (NLP, GNN) and microservice architecture. The work highlights agile methodologies, iterative development, and business analysis (ML Canvas). Practical cases demonstrate enhanced user experience, improved enterprise efficiency, and innovative tools. 364 pp. Englisch. Seller Inventory # 9786208427146
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Taschenbuch. Condition: Neu. Agile Development of Deep Learning Applications | Recommendation and Enterprise Management Systems. Practical cases | Valentina Dvorzhak (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208427146 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 131596753
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph showcases agile development of deep learning applications, focusing on recommendation systems. It presents projects in diverse contexts: personalized music playlists via text sentiment analysis, a knowledge-sharing platform using graph neural networks, automated IT specialist selection with graph autoencoders, and a creative writing platform with recommendations. It emphasizes modern techniques (NLP, GNN) and microservice architecture. The work highlights agile methodologies, iterative development, and business analysis (ML Canvas). Practical cases demonstrate enhanced user experience, improved enterprise efficiency, and innovative tools.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 364 pp. Englisch. Seller Inventory # 9786208427146
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