Data Science and Machine Learning for Non-programmers: Using SAS Enterprise Miner - Couverture rigide

Truong, Dothang

 
9780367755386: Data Science and Machine Learning for Non-programmers: Using SAS Enterprise Miner
Couverture rigide
ISBN 10 : 0367755386 ISBN 13 : 9780367755386
Editeur : Chapman & Hall/CRC, 2024

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman & Hall/CRC
Date d'édition
2024
Langue
anglais
ISBN 10 
0367755386
ISBN 13 
9780367755386
Reliure
Relié
Numéro d'édition
1
Nombre de pages
577
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9780367751968: Data Science and Machine Learning for Non-programmers: Using SAS Enterprise Miner

Edition présentée

ISBN 10 :  0367751968 ISBN 13 :  9780367751968
Editeur : Chapman & Hall/CRC, 2026
Couverture souple