Machine Learning for Econometrics and Related Topics (Studies in Systems, Decision and Control, 508) - Hardcover
Synopsis
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."synopsis" may belong to another edition of this title.
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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."About this title" may belong to another edition of this title.
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Machine Learning for Econometrics and Related Topics (eng)
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Machine Learning for Econometrics and Related Topics
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the use of more traditional econometric techniquesFocuses on the use of machine learning in economicsIncludes applications of economics in agriculture, health, manufacturing, trade, and transportationIn the last decades. Seller Inventory # 1027290426
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Machine Learning for Econometrics and Related Topics (Hardcover)
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Springer International Publishing AG, Cham, 2024
ISBN 10: 3031436008
ISBN 13: 9783031436000
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Hardcover. Condition: new. Hardcover. 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. In the last decades, machine learning techniques especially techniques of deep learning led to numerous successes in many application areas, including economics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031436000
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Machine Learning for Econometrics and Related Topics
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Springer, Palgrave Macmillan Jun 2024, 2024
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Buch. Condition: Neu. 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
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Machine Learning for Econometrics and Related Topics
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Springer, Springer Jun 2024, 2024
ISBN 10: 3031436008
ISBN 13: 9783031436000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 learningand 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 512 pp. Englisch. Seller Inventory # 9783031436000
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Machine Learning for Econometrics and Related Topics
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031436000
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Machine Learning for Econometrics and Related Topics
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Hardcover. Condition: Brand New. 508 pages. 9.25x6.10x9.49 inches. In Stock. Seller Inventory # x-3031436008
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