Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner

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Dothang Truong

Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

Dothang Truong

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Hardback

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English

Chapman & Hall/CRC
23 February 2024

Algorithms & data structures; Machine learning

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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.

By: Dothang Truong
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.250kg
ISBN: 9780367755386
ISBN 10: 0367755386
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Pages: 577
Publication Date: 23 February 2024
Audience: College/higher education , Professional and scholarly , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Dothang Truong, PhD, is a Professor of Graduate Studies at Embry Riddle Aeronautical University, Daytona Beach, Florida. He has extensive teaching and research experience in machine learning, data analytics, air transportation management, and supply chain management. In 2022, Dr. Truong received the Frank Sorenson Award for outstanding achievement of excellence in aviation research and scholarship.