Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner, 1st Edition eBook

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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.

This is a digital product.

Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner 1st Edition is written by Dothang Truong and published by Chapman & Hall. The Digital and eTextbook ISBNs for Data Science and Machine Learning for Non-Programmers are 9781003835639, 1003835635 and the print ISBNs are 9780367755386, 0367755386. Additional ISBNs for this eTextbook include 9780367751968, 9781003162872, 9781003835615.