Data science and machine learning for non-programmers using SAS Enterprise miner
"As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this d...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press
2024
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| Ausgabe: | First edition |
| Schriftenreihe: | Chapman & Hall/CRC data mining and knowledge discovery series
A Chapman & Hall book |
| Schlagworte: | |
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Tag hinzufügen | Zusammenfassung: | "As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilise machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers and industry professionals from various backgrounds"-- |
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| Beschreibung: | Literaturverzeichnis: Seite 555-559 |
| Beschreibung: | xii, 577 Seiten Illustrationen, Diagramme 27 cm |
| ISBN: | 9780367755386 978-0-367-75538-6 9780367751968 978-0-367-75196-8 |