Machine Learning Foundations: Supervised, Unsupervised, and Advanced LearningКНИГИ » ПРОГРАММИНГ
Название: Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning Автор: Taeho Jo Издательство: Springer Год: 2021 Формат: PDF Страниц: 411 Размер: 10 Mb Язык: English
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.
Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning; Outlines the computation paradigm for solving classification, regression, and clustering; Features essential techniques for building the a new generation of machine 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 with R Название: Machine Learning with R Автор: Abhijit Ghatak Издательство: Springer ISBN: 9811068070 Год: 2017 Страниц: 224 Язык: английский Формат:...
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Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning 
