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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Galit Shmueli | - |
dc.date.accessioned | 2024-10-03T03:22:58Z | - |
dc.date.available | 2024-10-03T03:22:58Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11361 | - |
dc.description.abstract | Machine 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 techniques | vi |
dc.language.iso | en | vi |
dc.publisher | Wiley | vi |
dc.subject | Machine learning | Data mining | Business | Thuật toán thống kê | Phân tích mạng | Khai thác dữ liệu | vi |
dc.title | Machine learning for business analytics : concepts, techniques and applications in RapidMiner | vi |
dc.type | Sách/Book | vi |
Appears in Collections | 1-Kinh tế - Quản lý |
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