Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers and graduate students in financial engineering, as well as practitioners in the sector.

• | By (Author): Agostino Capponi (Columbia University, New York), Charles-Albert Lehalle (Abu Dhabi Investment Authority) (Edited by)
• | Publisher: Cambridge University Press
• | Publication Date: Apr 30, 2023
• | Country of Publication: United Kingdom
• | Number of Pages: 741 pages
• | Language: NULL
• | Binding: Hardback
• | ISBN-10: 1316516199
• | ISBN-13: 9781316516195