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dc.contributor.authorGalit Shmueli-
dc.date.accessioned2024-10-03T03:22:58Z-
dc.date.available2024-10-03T03:22:58Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/11361-
dc.description.abstractMachine learning--also known as data mining or data analytics-- is a fundamental part of data science. It is used by organizationsin a wide variety of arenas to turn raw data into actionableinformation. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniquesvi
dc.language.isoenvi
dc.publisherWileyvi
dc.subjectMachine learning | Data mining | Business | Thuật toán thống kê | Phân tích mạng | Khai thác dữ liệuvi
dc.titleMachine learning for business analytics : concepts, techniques and applications in RapidMinervi
dc.typeSách/Bookvi
Appears in Collections1-Kinh tế - Quản lý

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