Lin yuhang (5 resultados)

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 213,99
Envío por EUR 65,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges two seemingly distinct worlds network theory and machine learning to reveal the universal laws of scalability that underlie both. It examines how value, capacity, and performance evolve as systems expand, offering a unified framework tha…t connects Metcalfe s Law with neural scaling laws.By comparing network growth and model scaling, the book uncovers striking parallels: the diminishing throughput of densely connected networks mirrors the saturation of model generalization in large AI systems. Through rigorous analytical models, it explains when performance scales sublinearly, linearly, or even superlinearly and why these transitions matter for the future of communication infrastructure and intelligent computation.Designed for researchers and advanced practitioners in computer networks, information theory, and artificial intelligence, this work delivers both conceptual insight and practical guidance. It helps readers recognize the structural forces that shape scalability, the mathematical trade-offs between capacity and efficiency, and the design principles that can transfer between large-scale networks and learning systems.Readers with backgrounds in probability, linear algebra, and algorithmic modeling will find this book a compelling synthesis of theory and application a guide to understanding how scaling behavior defines the limits and possibilities of modern computational systems.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 292,09
Envío por EUR 3,45Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 308,64
Envío por EUR 7,60Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 316,44
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

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- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 213,99
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book bridges two seemingly distinct worlds network theory and machine learning to reveal the universal laws of scalability that underlie both. It examines how value, capacity, and performance evolve as systems expand, offering a unifi…ed framework that connects Metcalfe s Law with neural scaling laws.By comparing network growth and model scaling, the book uncovers striking parallels: the diminishing throughput of densely connected networks mirrors the saturation of model generalization in large AI systems. Through rigorous analytical models, it explains when performance scales sublinearly, linearly, or even superlinearly and why these transitions matter for the future of communication infrastructure and intelligent computation.Designed for researchers and advanced practitioners in computer networks, information theory, and artificial intelligence, this work delivers both conceptual insight and practical guidance. It helps readers recognize the structural forces that shape scalability, the mathematical trade-offs between capacity and efficiency, and the design principles that can transfer between large-scale networks and learning systems.Readers with backgrounds in probability, linear algebra, and algorithmic modeling will find this book a compelling synthesis of theory and application a guide to understanding how scaling behavior defines the limits and possibilities of modern computational systems. 184 pp. Englisch.