Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

Dothang Truong

• Publisher: Chapman and Hall/CRC
• Year: 2024
• Print ISBN: 9780367751968
• eBook ISBN: 9781003835639
• Edition: 1
• Topic: Economics
• Subtopic: Computer Science General
• Index: Economics

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.

Table of contents

• Cover Page
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• Part I Introduction to Data Mining
• Part II Data Mining Methods
• Part III Advanced Data Mining Methods
• Term Definitions
• References
• Appendices: Data Descriptions
• Index