The Essentials of Machine Learning in Finance and Accounting

ISBN-13: 9780367480837 / Angielski / Twarda / 2021 / 234 str.

Mohammad Zoynul Abedin; M. Kabir Hassan; Petr Hajek

Opis

This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.

Spis treści

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 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 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