The Essentials of Machine Learning in Finance and Accounting /
Abedin, Mohammad Zoynul
The Essentials of Machine Learning in Finance and Accounting / Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek etc. - 1st ed. - New York : Routledge; 2021 - 234.P, col. ill.; 24.cm. - Routledge advanced texts in economics and finance .
1 Machine learning in finance and accounting--
2 Decision Trees and random forests--
3 Improving longevity risk management through machine learning--
4 Kernel switching ridge regression in business intelligence systems--
5 Predicting stock return volatility using sentiment analysis of corporate annual reports--
6 Random projection methods in economics and finance--
7 The future of cloud computing in financial services: a machine learning and artificial intelligence perspective--
8 Prospects and challenges of using artificial intelligence in the audit process--
9 Web usage analysis: pillar 3 information assessment in turbulent times--
10 Machine learning in the fields of accounting, economics and finance: the emergence of new strategies--
11 Handling class imbalance data in business domain--
12 Artificial intelligence (AI) in recruiting talents: recruiters' intention and actual use of AI
9780367480813
Finance --Machine Learning
Accounting --Machine Learning --Data Processing
Finance --Data processing
Finance--Mathematical models
332.0285
The Essentials of Machine Learning in Finance and Accounting / Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek etc. - 1st ed. - New York : Routledge; 2021 - 234.P, col. ill.; 24.cm. - Routledge advanced texts in economics and finance .
1 Machine learning in finance and accounting--
2 Decision Trees and random forests--
3 Improving longevity risk management through machine learning--
4 Kernel switching ridge regression in business intelligence systems--
5 Predicting stock return volatility using sentiment analysis of corporate annual reports--
6 Random projection methods in economics and finance--
7 The future of cloud computing in financial services: a machine learning and artificial intelligence perspective--
8 Prospects and challenges of using artificial intelligence in the audit process--
9 Web usage analysis: pillar 3 information assessment in turbulent times--
10 Machine learning in the fields of accounting, economics and finance: the emergence of new strategies--
11 Handling class imbalance data in business domain--
12 Artificial intelligence (AI) in recruiting talents: recruiters' intention and actual use of AI
9780367480813
Finance --Machine Learning
Accounting --Machine Learning --Data Processing
Finance --Data processing
Finance--Mathematical models
332.0285