Modern data mining algorithms in C++ and CUDA C : recent developments in feature extraction and selection algorithms for data science /

Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. --

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Masters, Timothy
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress L.P., 2020.
Temas:
Data mining.
C++ (Computer program language)
Data Mining
Exploration de données (Informatique)
C++ (Langage de programmation)
Computing & information technology.
Probability & statistics.
Programming & scripting languages: general.
Computers > General.
Mathematics > Probability & Statistics > General.
Computers > Programming Languages > General.
Computers > Database Management > Data Mining.
Data mining
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. --
Notas:Includes index.
Descripción Física:1 online resource (233 pages)
ISBN:9781484259887
1484259882
9781484259894
1484259890

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