| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
006.31 |
| 書名/作者: |
Machine learning : a journey to deep learning : with exercises and answers // Andreas Wichert, Luis Sa-Couto. |
| 作者: |
Wichert, Andrzej. |
| 其他作者: |
Sa-couto, Luis. |
| 出版者: |
Singapore : : World Scientific,, c2021. |
| 面頁冊數: |
1 online resource (xvi, 624 p.) |
| 標題: |
Machine learning. |
| ISBN: |
9789811234064 |
| 書目註: |
Includes bibliographical references and index. |
| 內容註: |
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、提要註: |
"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://www.worldscientific.com/worldscibooks/10.1142/12201#t=toc |