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Machine Learning in Business Finance Using Python.
・ISBN 978-981-9811-23-6 hard US$ 98.00
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| 著者・編者 | Lim, Kian Guan, |
|---|---|
| シリーズ | World Scientific Series On Financial Data Analytics |
| 出版社 | (World Scientific, SI) |
| 出版年月 | 2025.08 |
| ページ数 | 316 pp. |
| 言語 | ENG |
| ニュース番号 | ＜754-446＞ |
解説
This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naive Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.