Machine Learning and Data Sciences for Financial Markets. A Guide to Contemporary Practices, Hardback/***
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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. Publisher: Cambridge University Press Author(s): Charles-Albert (Abu Dhabi Investment Authority) Lehalle Illustration(s): Worked examples or Exercises Number of pages: 741 Publication date: 2023 Dimensions: 185 x 262 x 39 Cover type: Hardback Editor(s): Charles-Albert (Abu Dhabi Investment Authority) Lehalle
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