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Informatica Informatica Databases

 

Boekhandel Douwes Den Haag

Linked Data

A Geographic Perspective

Dolbear, Catherine (Oxford University Press, UK) & Hart, Glen (Ordnance Survey, UK)

Linked Data

Linked Data

A Geographic Perspective

Linked Data

 

Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining t

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€ 70,00

Levertijd: 5 tot 8 werkdagen

Beschrijving Linked Data

Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining t

ISBN
9780367866549
Pagina's
289
Verschenen
Rubriek
Databases
Druk
1
Uitvoering
Paperback
Taal
Engels
Uitgever
Taylor & Francis Ltd

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

A Mathematical Introduction to Data Science with Python

This textbook serves as a companion to "A Mathematical Introduction to Data Science". It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science. It is designed for anyone with a basic mathematical background, including students and self-learners interested in understanding the principles behind the computational algorithms used in data science.

Databases

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