Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner
Dothang Truong, B0CV4JZCZ4, 0367751968, 0367755386, 9780367755386, 978-0-367-75538-6, 978-0367755386, 978-0-367-75196-8, 978-0367751968, 9780367751968, 978-1-003-16287-2, 9781003162872, 978-1003162872
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.