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. |Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner | Computer Science
