Truong

Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

Taylor & Francis Ltd

ISBN 978-0-367-75196-8

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ca. 56,00 €

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Bibliografische Daten

Buch. Softcover

2026

189 Farbabbildungen, 189 Farbzeichnungen, 124 s/w-Tabelle.

In englischer Sprache

Umfang: 577 S.

Format (B x L): 17.8 x 25.4 cm

Verlag: Taylor & Francis Ltd

ISBN: 978-0-367-75196-8

Produktbeschreibung

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.

Autorinnen und Autoren

Produktsicherheit

Hersteller

Libri GmbH

Europaallee 1
36244 Bad Hersfeld, DE

gpsr@libri.de

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