Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner Hardback
by Dothang Truong
Part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series series
Hardback
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Description
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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:577 pages, 143 Tables, black and white; 419 Line drawings, color; 419 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:23/02/2024
- Category:
- ISBN:9780367755386
Other Formats
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Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:577 pages, 143 Tables, black and white; 419 Line drawings, color; 419 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:23/02/2024
- Category:
- ISBN:9780367755386