Machine learning a journey to deep learning : with exercises and answers / [electronic resource] :
by Andreas Wichert, Luis Sa-Couto.
- Singapore : World Scientific, 2021.
- 1 online resource (xvi, 624 p.)
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.
"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.
Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader.