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Название: Supervised and Unsupervised Learning for Data Science
Автор: Michael W. Berry , Azlinah Mohamed, Bee Wah Yap
Издательство: Springer
Год: 2020
Формат: EPUB, PDF
Страниц: 187
Размер: 17,7 Mb
Язык: English
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field.
Автор: Michael W. Berry , Azlinah Mohamed, Bee Wah Yap
Издательство: Springer
Год: 2020
Формат: EPUB, PDF
Страниц: 187
Размер: 17,7 Mb
Язык: English
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field.