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Data Science and Machine Learning for Non-Programmers
- Using SAS Enterprise Miner
Engelsk
Foto på vej
Specifikationer
Sprog:
Engelsk
Sider:
577
ISBN-13:
9780367751968
Indbinding:
Paperback
Udgave:
ISBN-10:
0367751968
Udg. Dato:
1 jan 2026
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
Taylor & Francis Ltd
Serie:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Oplagsdato:
1 jan 2026
Forfatter(e):
Paperback
Format:

Om denne bog

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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Udkommer 01-01-2026

Specifikationer
Sprog:
Engelsk
Sider:
577
ISBN-13:
9780367751968
Indbinding:
Paperback
Udgave:
ISBN-10:
0367751968
Udg. Dato:
1 jan 2026
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
Taylor & Francis Ltd
Serie:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Oplagsdato:
1 jan 2026
Forfatter(e):
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