| 书目名称 | Machine Learning Crash Course for Engineers |
| 编辑 | Eklas Hossain |
| 视频video | |
| 概述 | A concise guide to the basics of algorithms, building models, and performance evaluation.Offers highly illustrated, step-by-step guidelines with Python programming examples.Provides examples and exerc |
| 图书封面 |  |
| 描述 | .Machine Learning Crash Course for Engineers .is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly. |
| 出版日期 | Textbook 2024 |
| 关键词 | Application of machine learning; Supervised learning; Unsupervised learning; Machine learning; Signal pr |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-46990-9 |
| isbn_softcover | 978-3-031-46992-3 |
| isbn_ebook | 978-3-031-46990-9 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:49:40
