winkelwagen uitgebreid zoeken
print pagina
Informatica Informatica Programmeertalen

 

Boekhandel Douwes Den Haag

Chapman & Hall/CRC Data Science Series

Textual and Contextual Data Analysis

A Multivariate Statistical Approach using R

Ramon Alvarez-Esteban & Monica Becue-Bertaut

Textual and Contextual Data Analysis

Chapman & Hall/CRC Data Science Series

Textual and Contextual Data Analysis

A Multivariate Statistical Approach using R

Chapman & Hall/CRC Data Science Series: Textual and Contextual Data Analysis

Verschijnt binnenkort

 

Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents. This book addresses the challenge of jointly analyzing textual and contextual data, presenting rigorous theoretical foundations alongside practical methodologies.

Nog te verschijnen

€ 133,35

Bezorgen: Zodra beschikbaar

Beschrijving Chapman & Hall/CRC Data Science Series: Textual and Contextual Data Analysis

Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents. This book addresses the challenge of jointly analyzing textual and contextual data, presenting rigorous theoretical foundations alongside practical methodologies.

ISBN
9781032502267
Pagina's
228
Verschijnt
Serie
Chapman & Hall/CRC Data Science Series
Rubriek
Programmeertalen
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Taylor & Francis Ltd

Combinatorial Optimization and Applications

font-family: 'Calibri',sans-serif;">The LNCS 16416, constitutes the refereed post-conference proceedings of the 18th International Conference on Combinatorial Optimization and Applications, COCOA 2025, held in Tianjin, China, during November 28–30, 2025.

Build Python Web Apps with Streamlit

The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. There’s no need to switch stacks just to add a web front-end to a Python application.

Good Coding Practice for Science

This primer introduces the elements that distinguish well-written computer code, covering style, clarity, technique, and robustness, to support readers in improving their coding skills. It explains why some approaches are better than others, and shows how good code prevents scientific errors and increases the reproducibility of research.

Programmeertalen

terug meer