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

By:

Abedin, Mohammad Zoynul

Contributor(s):

Material type: Text

TextSeries: 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	Central Library	332.0285 AME 2021 (Browse shelf(Opens below))	C.1	Available	007190

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Previous	332.024 HG179 Instructor's Manual and Test Bank :	332.024 R799 Personal finance /	332.024 R988 Managing your personal finances /	332.0285 AME 2021 The Essentials of Machine Learning in Finance and Accounting /	332.042 L664 International finance :	332.042 S714 The crisis of global capitalism :	332.09 H377 2013 Introduction to Islamic Banking & Finance: Principles and Practice /	Next

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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