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商品詳細
Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner.
・ISBN 978-0-367-75196-8 paper GB£ 49.99
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| 著者・編者 | Truong, Dothang, |
|---|---|
| シリーズ | (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) |
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2025 |
| ページ数 | 577 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-54559＞ |
解説
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.