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

Truong, Dothang

 
9780367755386: Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner
Rilegato
ISBN 10: 0367755386 ISBN 13: 9780367755386
Casa editrice: Chapman and Hall/CRC, 2024

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Chapman and Hall/CRC
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
0367755386
ISBN 13 
9780367755386
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
577
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

Altre edizioni note dello stesso titolo

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

Edizione in evidenza

ISBN 10:  0367751968 ISBN 13:  9780367751968
Casa editrice: Chapman and Hall/CRC, 2026
Brossura