Supervised and Unsupervised Learning for Data ScienceКНИГИ » ОС И БД
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. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018).
Includes new advances in clustering and classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning; Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
Lie Group Machine Learning Название: Lie Group Machine Learning Автор: Fanzhang Li Издательство: de Gruyter Год: 2019 Страниц: 533 Формат: PDF Размер: 14 Mb Язык: English This...
Machine Learning for Text Название: Machine Learning for Text Автор: Charu C. Aggarwal Издательство: Springer Год: 2018 ISBN: 9783319735313 Формат: epub, pdf Страниц: XXIII,...
Unsupervised Machine Learning in Python Название: Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and...
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Supervised and Unsupervised Learning for Data Science 
