Graph Neural Networks in Action - Keita Broadwater
Detalii Graph Neural Networks in Action
Vânzător
libris.ro
Pret
446.33 Lei
446.33 Lei
495.92 Lei
Categorie (vânzător)
Computers
Marca
Keita Broadwater
Descriere YEO:
Descriere magazin:
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. In Graph Neural Networks in Action, you will learn how to: Train and deploy a graph neural network Generate node embeddings Use GNNs at scale for very large datasets Build a graph data pipeline Create a graph data schema Understand the taxonomy of GNNs Manipulate graph data with NetworkX Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You\'ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you\'ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Graph neural networks expand the capabilities of deep learning beyond traditional tabular data, text, and images. This exciting new approach brings the amazing capabilities of deep learning to graph data structures, opening up new possibilities for everything from recommendation engines to pharmaceutical research. About the book In Graph Neural Networks in Action you\'ll create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data\'s unique properties. Then, dive straight into building real-world models, including GNNs that can generate node embeddings from a social network, recommend eCommerce products, and draw insights from social sites. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba\'s GraphScope for training at scale. About the reader For Python programmers familiar with machine learning and the basics of deep learning. About the author Keita Broadwater, PhD, MBA is a machine learning engineer with over ten years executing data science, analytics, and machine learning applications and projects. He is Chief of Machine Learning at candidates.ai, a firm which uses AI to enhance executive search. Dr. Broadwater has
Graph Neural Networks in Action - Disponibil la libris.ro
Pe YEO găsești Graph Neural Networks in Action de la Keita Broadwater, în categoria Computers.
Indiferent de nevoile tale, Graph Neural Networks in Action - Keita Broadwater din categoria Computers îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.
Preț: 446.33 Lei
Caracteristicile produsului Graph Neural Networks in Action
- Brand: Keita Broadwater
- Categoria: Computers
- Magazin: libris.ro
- Ultima actualizare: 05-06-2025 16:21:01
Comandă Graph Neural Networks in Action Online, Simplu și Rapid
Prin intermediul platformei YEO, poți comanda Graph Neural Networks in Action de la libris.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.
Descriere magazin:
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. In Graph Neural Networks in Action, you will learn how to: Train and deploy a graph neural network Generate node embeddings Use GNNs at scale for very large datasets Build a graph data pipeline Create a graph data schema Understand the taxonomy of GNNs Manipulate graph data with NetworkX Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You\'ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you\'ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Graph neural networks expand the capabilities of deep learning beyond traditional tabular data, text, and images. This exciting new approach brings the amazing capabilities of deep learning to graph data structures, opening up new possibilities for everything from recommendation engines to pharmaceutical research. About the book In Graph Neural Networks in Action you\'ll create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data\'s unique properties. Then, dive straight into building real-world models, including GNNs that can generate node embeddings from a social network, recommend eCommerce products, and draw insights from social sites. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba\'s GraphScope for training at scale. About the reader For Python programmers familiar with machine learning and the basics of deep learning. About the author Keita Broadwater, PhD, MBA is a machine learning engineer with over ten years executing data science, analytics, and machine learning applications and projects. He is Chief of Machine Learning at candidates.ai, a firm which uses AI to enhance executive search. Dr. Broadwater has
Produse asemănătoare
Produse marca Keita Broadwater