Data analysis methods intersect with statistical theory, computational methods, and real-world problem solving, providing insights from complex datasets. With mathematical and statistical foundations, these techniques include predictive modeling, machine learning, and optimization. Their applications span diverse sectors like finance, healthcare, engineering, and social sciences, where data-driven decisions are critical. By integrating theory with practical application, advanced data analysis provides the tools needed to uncover patterns, prove hypotheses, and translate data into actionable knowledge. Advanced Data Analysis Techniques, Theory, and Applications explores the latest trends and advancements in data analysis methodologies and techniques. It examines applications across various industries, discussing ethical considerations and best practices in data collection, processing, and interpretation. This book covers topics such as ethics and law, machine learning, and data engineering, and is a useful resource for data scientists, academicians, researchers, and engineers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Theodore Chadjipadelis is a Professor of Applied Statistics at the Department of Political Science in Aristotle University of Thessaloniki. He is the Head of Laboratory of Applied Political Research and also Director of the MSc programs Political Analysis and Governance-Regional Development. He is also the Head of the Research Centre "Observatory for Democracy in Balkans, Black Sea and Eastern Mediterranean". He taught Statistics, Mathematics, Electoral Analysis, Governance, Local and Regional Government, Decision Theory in the Aristotle University as well as in the University of Thessaly and the Hellenic Open University. He has published more than 100 papers in scientific journals and conference proceedings in Greece and abroad relating to Electoral Analysis, Public Opinion analysis, laboratory planning, Applied Statistics, Civil and Regional Planning. He is the Head of the Committee for Control of Public Surveys (established following agreement of the Committee with the Ministry of Media). From April 2010 till 2012 he was Board Member of "Information Society SA" and since 2011 till 2015 he was President of the Managing Committee at the University of Western Macedonia. He was a member of the Special Scientific Committee of the Ministry of Interior Decentralization and E-government for the new architecture of Administration and Regional Administration as well as the Special Committee for the electoral law. He has been member of the National Committee for Administrative Reform of the Ministry of Interior, Public Administration and Decentralization (as a representative of Aristotle University). He has been also a member of the scientific Committee of the "Institute of Local Government" (Κ.Ε.Δ.Κ.Ε-Τ.Ε.Δ.Κ.Ν.Α.). He has also been representative of the Hellenic Ministry of Education in EUROSTAT and national representative at FP6 Initiative 7 (Citizens and Governance in Knowledge Society).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798337369266
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798337369266
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. Data analysis methods intersect with statistical theory, computational methods, and real-world problem solving, providing insights from complex datasets. With mathematical and statistical foundations, these techniques include predictive modeling, machine learning, and optimization. Their applications span diverse sectors like finance, healthcare, engineering, and social sciences, where data-driven decisions are critical. By integrating theory with practical application, advanced data analysis provides the tools needed to uncover patterns, prove hypotheses, and translate data into actionable knowledge. Advanced Data Analysis Techniques, Theory, and Applications explores the latest trends and advancements in data analysis methodologies and techniques. It examines applications across various industries, discussing ethical considerations and best practices in data collection, processing, and interpretation. This book covers topics such as ethics and law, machine learning, and data engineering, and is a useful resource for data scientists, academicians, researchers, and engineers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337369266
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337369266
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. Data analysis methods intersect with statistical theory, computational methods, and real-world problem solving, providing insights from complex datasets. With mathematical and statistical foundations, these techniques include predictive modeling, machine learning, and optimization. Their applications span diverse sectors like finance, healthcare, engineering, and social sciences, where data-driven decisions are critical. By integrating theory with practical application, advanced data analysis provides the tools needed to uncover patterns, prove hypotheses, and translate data into actionable knowledge. Advanced Data Analysis Techniques, Theory, and Applications explores the latest trends and advancements in data analysis methodologies and techniques. It examines applications across various industries, discussing ethical considerations and best practices in data collection, processing, and interpretation. This book covers topics such as ethics and law, machine learning, and data engineering, and is a useful resource for data scientists, academicians, researchers, and engineers. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337369266
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Advanced Data Analysis Techniques, Theory, and Applications | Sofia D. Anastasiadou (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337369266 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134912166
Quantité disponible : 5 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data analysis methods intersect with statistical theory, computational methods, and real-world problem solving, providing insights from complex datasets. With mathematical and statistical foundations, these techniques include predictive modeling, machine learning, and optimization. Their applications span diverse sectors like finance, healthcare, engineering, and social sciences, where data-driven decisions are critical. By integrating theory with practical application, advanced data analysis provides the tools needed to uncover patterns, prove hypotheses, and translate data into actionable knowledge. Advanced Data Analysis Techniques, Theory, and Applications explores the latest trends and advancements in data analysis methodologies and techniques. It examines applications across various industries, discussing ethical considerations and best practices in data collection, processing, and interpretation. This book covers topics such as ethics and law, machine learning, and data engineering, and is a useful resource for data scientists, academicians, researchers, and engineers. N° de réf. du vendeur 9798337369266
Quantité disponible : 2 disponible(s)