Hoque prince enamul (4 resultados)

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 55,27
Envío por EUR 2,68Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 52,79
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers the first comprehensive guide to understanding and applying large language models (LLMs) in data visualization. As LLMs continue to redefine how people interact with data, the book explores how they have made natural language a powerful interface for visualization, analysis, and reasoning. This book brings together the foundations of modern language models with the rapidly evolving research that is reshaping how visualizations are created, explored, communicated, and made accessible.Beginning with the principles behind transformers, multimodal LLMs, prompt engineering, and agentic AI, the book builds the knowledge needed to understand today's AI systems before exploring their applications throughout the visualization pipeline. It covers visualization understanding and interaction, chart question answering, conversational and multimodal interfaces, visualization generation and editing, automated insight and story generation, human-LLM collaborative authoring, and AI-powered accessibility and inclusive visualization.Beyond applications, the book examines the capabilities, limitations, and trustworthiness of LLM-powered visualization systems, addressing topics such as hallucinations, reasoning errors, evaluation, responsible AI, human-AI collaboration, personalization, multilingual visualization, and future research opportunities. Richly illustrated with real-world examples, benchmarks, and case studies, this book serves as both an accessible introduction and an authoritative reference for researchers, graduate students, educators, and practitioners seeking to build the next generation of intelligent, trustworthy, and human-centered visualization systems.…

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Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 53,91
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 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 42,79
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 offers the first comprehensive guide to understanding and applying large language models (LLMs) in data visualization. As LLMs continue to redefine how people interact with data, the book explores how they have made natural language a powerful interface for visualization, analysis, and reasoning. This book brings together the foundations of modern language models with the rapidly evolving research that is reshaping how visualizations are created, explored, communicated, and made accessible.Beginning with the principles behind transformers, multimodal LLMs, prompt engineering, and agentic AI, the book builds the knowledge needed to understand today's AI systems before exploring their applications throughout the visualization pipeline. It covers visualization understanding and interaction, chart question answering, conversational and multimodal interfaces, visualization generation and editing, automated insight and story generation, human-LLM collaborative authoring, and AI-powered accessibility and inclusive visualization.Beyond applications, the book examines the capabilities, limitations, and trustworthiness of LLM-powered visualization systems, addressing topics such as hallucinations, reasoning errors, evaluation, responsible AI, human-AI collaboration, personalization, multilingual visualization, and future research opportunities. Richly illustrated with real-world examples, benchmarks, and case studies, this book serves as both an accessible introduction and an authoritative reference for researchers, graduate students, educators, and practitioners seeking to build the next generation of intelligent, trustworthy, and human-centered visualization systems. 138 pp. Englisch.…