Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner
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- Hardcover
- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB 3
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Fr. 73.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
23.02.2024
Verlag
Taylor & Francis eBooksSeitenzahl
589 (Printausgabe)
Dateigröße
27140 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781003835639
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.
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