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 utilize 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.
Produkteigenschaften
- Artikelnummer: 9780367751968
- Medium: Buch
- ISBN: 978-0-367-75196-8
- Verlag: Taylor & Francis Ltd
- Erscheinungstermin: 01.01.2026
- Sprache(n): Englisch
- Auflage: 1. Auflage 2026
- Serie: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
- Produktform: Kartoniert
- Seiten: 589
- Format (B x H): 178 x 254 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Wirtschaftswissenschaften
- Volkswirtschaftslehre
- Volkswirtschaftslehre Allgemein
- Wirtschaftsstatistik, Demographie
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Informationsarchitektur
- Mathematik | Informatik
- EDV | Informatik
- Daten / Datenbanken
- Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik
- EDV | Informatik
- Daten / Datenbanken
- Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Algorithmen & Datenstrukturen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Informationsarchitektur
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Spiele-Programmierung, Rendering, Animation