Classification and Data Science in the Digital Age

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functiona...

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Соавтор:	SpringerLink (Online service)
Другие авторы:	Brito, Paula (Редактор), Dias, José G. (Редактор), Lausen, Berthold (Редактор), Montanari, Angela (Редактор), Nugent, Rebecca (Редактор)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Редактирование:	1st ed. 2023.
Серии:	Studies in Classification, Data Analysis, and Knowledge Organization,
Предметы:	Artificial intelligence > Data processing. Machine learning. Data mining. Multivariate analysis. Statistics > Computer programs. Data Science. Statistical Learning. Machine Learning. Data Mining and Knowledge Discovery. Multivariate Analysis. Statistical Software.
Online-ссылка:	Link to Metadata
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Classification and Data Science in the Digital Age

Опубликовано 2023

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Classification and Data Science in the Digital Age

Classification and Data Science in the Digital Age

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