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In den WarenkorbZustand: New. Dr Xuebin Wei is an associate professor at James Madison University (JMU) and an AWS Academy Certified Educator. He earned a Ph.D. in Geography from the University of Georgia in 2015. Dr Wei has developed a series of cloud-based technology courses that p.
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In den WarenkorbHardcover. Zustand: Brand New. 168 pages. 9.18x6.12x9.21 inches. In Stock.
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Taschenbuch. Zustand: Neu. GPU Solutions to Multi-scale Problems in Science and Engineering | David A. Yuen (u. a.) | Taschenbuch | Lecture Notes in Earth System Sciences | xiii | Englisch | 2016 | Springer | EAN 9783662506912 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032569069 ISBN 13: 9781032569062
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering textbook provides a gateway for students, educators, and professionals to develop and enhance social data analytics capabilities with the latest cloud computing and AI technologies. The textbook introduces educational cloud resources from leading technology companies, begins with foundational concepts, and progresses to advanced techniques.Features - The first textbook on cloud-based social data analytics with the assistance of Generative AI. - Introduces educational cloud resources from leading technology companies like AWS, GitHub, and MongoDB. - Presents a fully AI-powered data analytics pipeline from Python coding to data collection with APIs, cloud-based data storage, natural language queries, and interactive visualization. - Analyzes Census and social media data with the latest large language models (LLMs). - Provides hands-on exercises with real-world datasets on timely issues. This textbook is an excellent resource for upper-level undergraduate and graduate students taking GIS, Urban Informatics, Social Science Data Analysis, and Data Science courses; faculty members teaching such courses; and professionals and researchers interested in leveraging cloud computing and Generative AI in social data analytics.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2016
ISBN 10: 3662506912 ISBN 13: 9783662506912
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
ISBN 10: 3642164048 ISBN 13: 9783642164040
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining, earthquakes, mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.
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In den WarenkorbHardcover. Zustand: Brand New. 250 pages. 9.61x1.65x6.46 inches. In Stock.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 708 | Sprache: Englisch | Produktart: Bücher | This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.