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Machine Learning for Data Science Handbook

Machine Learning for Data Science Handbook

 

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Editorial:
Springer Nature B.V.
Año de edición:
2023
Materia
Inteligencia artificial
ISBN:
9783031246272

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This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

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