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The Essentials of Machine Learning in Finance and Accounting

M. Kabir Hassan

0/5 ( ratings)

The book introduces the topic of machine learning in finance and accounting and illustrates how the computational tools and techniques can be used in real-world contexts. These computational tools and techniques are particularly useful in areas such as financial risk management, corporate bankruptcy prediction, stock price prediction, fraud and error detection, and portfolio management. This book explains how large amounts of data can be captured and processed to help improve forecasting accuracy and managing business risk. It also offers practical and managerial implications. The book will be a helpful guide for research students, scholars, and practitioners who want to learn about the uses of machine learning and its applications in finance and accounting.

Pages: 296

Format: ebook

Release: June 21, 2021

ISBN 13: 9781000394115

The Essentials of Machine Learning in Finance and Accounting

M. Kabir Hassan

0/5 ( ratings)

The book introduces the topic of machine learning in finance and accounting and illustrates how the computational tools and techniques can be used in real-world contexts. These computational tools and techniques are particularly useful in areas such as financial risk management, corporate bankruptcy prediction, stock price prediction, fraud and error detection, and portfolio management. This book explains how large amounts of data can be captured and processed to help improve forecasting accuracy and managing business risk. It also offers practical and managerial implications. The book will be a helpful guide for research students, scholars, and practitioners who want to learn about the uses of machine learning and its applications in finance and accounting.

Pages: 296

Format: ebook

Release: June 21, 2021

ISBN 13: 9781000394115

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