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Titlebook: Sustainable Development in Banking and Finance; 7th International Co Nesrin Ozatac,Nigar Taspinar,Bezhan Rustamov Conference proceedings 20

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书目名称Sustainable Development in Banking and Finance
副标题7th International Co
编辑Nesrin Ozatac,Nigar Taspinar,Bezhan Rustamov
视频video
概述Presents current developments in the fields of banking and finance from an international perspective.Provides various perspectives on the global financial challenges and strategies.Discusses the most
丛书名称Springer Proceedings in Business and Economics
图书封面Titlebook: Sustainable Development in Banking and Finance; 7th International Co Nesrin Ozatac,Nigar Taspinar,Bezhan Rustamov Conference proceedings 20
描述.This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 7th International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors. The most recent theoretical and applied models for explaining sustainable development in banking and finance, in addition to other sectors, are discussed. This volume is designed for academics, policymakers, banking analysts, and insurance and financial institutions to discuss the complexities of these disciplines from multiple viewpoints..
出版日期Conference proceedings 2024
关键词Conference Proceedings; Financial institutions; corporate finance; investments; banking; financial econom
版次1
doihttps://doi.org/10.1007/978-3-031-65533-3
isbn_softcover978-3-031-65535-7
isbn_ebook978-3-031-65533-3Series ISSN 2198-7246 Series E-ISSN 2198-7254
issn_series 2198-7246
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Machine Learning for Cobalt Price Prediction, and gradient boosted trees. The gradient boosted trees approach correctly estimates the price of cobalt, which has recently become an important mineral. Sector investors needing cobalt ore will profit from the quality estimates based on machine learning in this study.
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