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- 题名/责任者:
- Machine learning for engineers / Osvaldo Simeone, King's College London.
- 出版发行项:
- Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.
- 出版发行项:
- ?2023
- ISBN:
- 9781316512821
- ISBN:
- 1316512827
- 载体形态项:
- xxii, 578 pages : illustrations ; 27 cm
- 个人责任者:
- Simeone, Osvaldo, author.
- 论题主题:
- Engineering-Data processing.
- 论题主题:
- Machine learning.
- 中图法分类号:
- TB-37
- 中图法分类号:
- TP181
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes : accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study, clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices, demonstration of the links between information-theoretical concepts and their practical engineering relevance, and reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines"--
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