Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as...

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書目詳細資料

企業作者:	SpringerLink (Online service)
其他作者:	Franke, Jürgen (Editor), Schöbel, Anita (Editor)
格式:	電子 電子書
語言:	英语
出版:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:	1st ed. 2024.
叢編:	Lecture Notes in Statistics, 227
主題:	Statistics . Machine learning. Statistical Theory and Methods. Machine Learning. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
在線閱讀:	https://doi.org/10.1007/978-3-031-66253-9
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