Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) - Tapa blanda

Truong, Dothang

 
9780367751968: Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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ISBN 10: 0367751968 ISBN 13: 9780367751968
Editorial: Chapman and Hall/CRC, 2026

Sinopsis

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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Acerca del autor

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.

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Editorial
Chapman and Hall/CRC
Año de publicación
2026
Idioma
Inglés
ISBN 10 
0367751968
ISBN 13 
9780367751968
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
590
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9780367755386: Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Edición Destacada

ISBN 10:  0367755386 ISBN 13:  9780367755386
Editorial: Chapman and Hall/CRC, 2024
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