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Machine Learning in Industry - Management and Industrial Engineering 2022 edition
Machine Learning in Industry - Management and Industrial Engineering
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
197 pages, 71 Illustrations, color; 12 Illustrations, black and white; X, 197 p. 83 illus., 71 illus
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2022年7月26日 |
| ISBN13 | 9783030758493 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 197 |
| 寸法 | 150 × 220 × 10 mm · 299 g |
| 言語 | ドイツ語 |
| 編集者 | Datta, Shubhabrata |
| 編集者 | Davim, J. Paulo |