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

di Dothang Truong (Autore)

Taylor & Francis Ltd, 2026

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.

• Autore: Dothang Truong
• Editore: Taylor & Francis Ltd
• Collana: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Anno: 2026
• Rilegatura: Paperback / softback
• Pagine: 577 p.
• Dimensioni: 254 x 178 mm
• Peso: 1090 gr.
• EAN: 9780367751968

Testo in English