Machine Learning for Econometrics and Related Topics

Language: English

Published by Springer, Palgrave Macmillan Jun 2024, 2024

3031436008 / 9783031436000

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -In the last decades, machine learning techniques - especially techniques of deep learning - led to numerous successes in many application areas, including economics. The use of machine learning in economics is the main focus of this book; however, the book also describes the use of more traditional econometric techniques. Applications include practically all major sectors of economics: agriculture, health (including the impact of Covid-19), manufacturing, trade, transportation, etc. Several papers analyze the effect of age, education, and gender on economy - and, more generally, issues of fairness and discrimination.We hope that this volume will:help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially techniques of machine learning,and help researchers to further develop these important research directions. We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments. 512 pp. Englisch.

Seller Inventory # 9783031436000

Title
Machine Learning for Econometrics and Related Topics
Author
Vladik Kreinovich
Publisher
Springer, Palgrave Macmillan Jun 2024
Publication year
2024
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031436008
ISBN 13
9783031436000
Item weight
1,020 grams
Dimensions
241x160x26 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany