Machine Learning in Finance 作者:Matthew F. Dixon/Igor Halperin/Paul Bilokon 出版社:Springer 副标题:From Theory to Practice 出版年:2020-7-2 页数:573 定价:$109.99 装帧:Hardcover ISBN:9783030410674 豆瓣评分 评价人数不足 评价: 写笔记 写书评...
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various disciplines in quantitative finance, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financia
Machine Learning in Finance: From Theory to Practice : by Matthew F. Dixon, Igor Halperin, and Paul Bilokon, Springer (2020). ISBN 978-3-030-41067-4. Paperback.doi:10.1080/14697688.2020.1828609No AbstractCoqueret, GuillaumeQuantitative Finance...
In A. Brabazon, M. O'Neill, & D. Maringer (Eds.), Natural computing in computational finance (Vol. ... A Azzini,MD Felice,AGB Tettamanzi - Springer Berlin Heidelberg 被引量: 4发表: 2011年 Comparison of instance-based techniques for learning to predict changes in stock prices Kuo "...
Breuer, W., Haake, A., Hass, M., Sachsenhausen, E. (2023). Silence is Silver, Speech is Gold: The Benefits of Machine Learning and Text Analysis in the Financial Sector. In: Trauth, D., Bergs, T., Prinz, W. (eds) The Monetization of Technical Data. Springer, Berlin, Heidelberg...
This study provides a comprehensive review of machine learning (ML) applications in the fields of business and finance. First, it introduces the most commonly used ML techniques and explores their diverse applications in marketing, stock analysis, demand
Machine learning has been actively and successfully used to make financial decisions. In general, these systems work reasonably well. However, in some case... TM Nguyen,S Tizpaz-Niari,V Kreinovich - Springer, Cham 被引量: 0发表: 2024年 Fairness in Machine Learning meets with Equity in Heal...
Machine learning has numerous applications in the financial sector, such as regulatory and compliance services, personal finance, asset management, payments and remittances, and banking and credit products. Machine learning has several applications in the banking industry, one of the most notable being ...
Financial applications of machine learning: A literature review This systematic literature review analyses the recent advances of machine learning and deep learning in finance. The study considers six financial domains:... N Nazareth,YVR Reddy - 《Expert Systems with Applications》 被引量: 0发表: 20...
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-