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The Essentials of Machine Learning in Finance and Accounting / Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek etc.

By: Contributor(s): Material type: TextTextSeries: Routledge advanced texts in economics and financePublication details: New York : Routledge; 2021Edition: 1st edDescription: 234.P, col. ill.; 24.cmISBN:
  • 9780367480813
Subject(s): DDC classification:
  • 332.0285
Contents:
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
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Holdings
Item type Current library Call number Copy number Status Barcode
Books Books Central Library 332.0285 AME 2021 (Browse shelf(Opens below)) C.1 Available 007190

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

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