Könyv Machine Learning for Econometrics and Related Topics Songsak Sriboonchitta

Machine Learning for Econometrics and Related Topics

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
110 207 Ft
In the last decades, machine learning techniques - especially techniques of deep learning - led to n...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
512
EAN
9783031436031
ISBN
3031436032
Enbook ID
49424933
Kiadó
Súly
861
Méretek
155 x 235 x 21

Teljes leírás

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.

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