Machine learning[electronic resource] :a journey to deep learning : with exercises and answers
- 作者: Wichert, Andrzej.
- 其他作者: Sa-couto, Luis.
- 出版: Singapore : World Scientific c2021.
- 稽核項: 1 online resource (xvi, 624 p.).
- 標題: Machine learning.
- ISBN: 981123406X , 9789811234064
- ISBN: 9789811234057
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Preface -- Introduction -- Probability and information -- Linear algebra and optimization -- Linear and nonlinear regression -- Perceptron -- Multilayer perceptron -- Learning theory -- Model selection -- Clustering -- Radial basis networks -- Support vector machines -- Deep learning -- Convolutional networks -- Recurrent networks -- Autoencoders -- Epilogue -- Bibliography -- Index.
- 摘要: "This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology. The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students"--Publisher's website.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.worldscientific.com/worldscibooks/10.1142/12201#t=toc
- 系統號: 005325996
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結