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Implikationen von Machine Learning auf das Datenmanagement in Unternehmen

Kessler, René; Gómez, Jorge Marx - In: HMD Praxis der Wirtschaftsinformatik 57 (2020) 1, pp. 89-105

Machine Learning ist ein Forschungsfeld mit großen Potenzialen und weitreichenden Anwendungspotenzialen. Big Data kann dabei als Enabler angesehen werden, da große und qualitativ hochwertige Daten stets die Grundlage für erfolgreiche Machine Learning-Algorithmen und -Modelle darstellen....

Persistent link: https://www.econbiz.de/10014504476

Big Data y Algoritmos para la Medición de la Pobreza y el Desarrollo

Sosa Escudero, Walter - 2023

Eritrea es un pequeño país del noreste de África, al que casi todos los rankings ubican entre los tres más pobres del mundo. Eritrea hace 30 años que no tiene un censo (Jerven, 2013). Eritrea es como un hipertenso severo que no puede medirse la presión, que no puede consultar a un médico....

Persistent link: https://www.econbiz.de/10014518145

Principles and practicalities for measuring child poverty in the rich countries

Corak, Miles - 2005

poverty. The choices that must be made are clarified, and a set of six principles to serve as a guide for public policy are … stated. The second objective is to take stock of child poverty and changes in child poverty in the majority of OECD countries … formulate a number of suggestions for the setting of credible targets for the elimination of child poverty in the rich countries …

Persistent link: https://www.econbiz.de/10010267535

Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“

Rendtel, Ulrich; Seidel, Willi; Müller, Christine; … - In: AStA Wirtschafts- und Sozialstatistisches Archiv 16 (2022) 2, pp. 97-147

Die Statistik als fachliche Disziplin muss sich in einem rasch wandelnden Umfeld behaupten, das durch den Aufstieg der Data Science, den Bedeutungszuwachs der künstlichen Intelligenz sowie neue Datenstrukturen charakterisiert wird. Wie kann sich die Statistik hier behaupten oder verlorenes...

Persistent link: https://www.econbiz.de/10015166246

Machine learning methods in finance: Recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - 2022

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised learning) address fundamentally different problems than traditional econometric approaches. Then, we review the current state of...

Persistent link: https://www.econbiz.de/10013471329

Modeling organizational performance with machine learning

Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19

Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors in determining the performance of firms using the European Company...

Persistent link: https://www.econbiz.de/10014329677

A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of Risk and Financial Management 15 (2022) 11, pp. 1-17

measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to …

Persistent link: https://www.econbiz.de/10014332691

Data and Democracy at Work: Advanced Information Technologies, Labor Law, and the New Working Class

Rogers, Brishen - 2023

An exploration of how major companies have used advanced information technologies to limit worker power, and how labor law reform could reverse that trend.As our economy has shifted away from industrial production and service industries have become dominant, many of the nation's largest...

Persistent link: https://www.econbiz.de/10014458245

Machine learning methods in finance: Recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - In: European Financial Management 29 (2023) 5, pp. 1657-1701

Persistent link: https://www.econbiz.de/10014503731

Indicators of inequality and poverty

Subramanian, S. - 2004

This essay aims at a broad, main-stream account of the literature on inequality and poverty measurement in the space of … rankings; poverty measures and anti-poverty policy; and other issues in the measurement of poverty. The third section considers … functionings. In addition to an introductory and a concluding part, the paper has four sections. The first of these, on measurement …

Persistent link: https://www.econbiz.de/10010284611