Data Science and Machine Learning for Non-Programmers - Using Spss Modeler

This book is designed to cater to readers who prefer a hands-on guide using SPSS Modeler, a widely popular software that does not require coding or programming skills. It targets a broad audience, including students, lecturers, researchers, and industry professionals.

List of contents

PART I: INTRODUCTION TO DATA MINING. 1. Introduction to Data Mining and Data Science. 2. Data Mining Process, Methods, and Software. 3. Data Sampling and Partitioning. 4. Data Visualization and Exploration. 5. Data Modification. PART II: DATA MINING METHODS. 6. Model Evaluation. 7. Regression Methods. 8. Decision Trees. 9. Neural Networks. 10. Ensemble Modeling. 11. Presenting Results and Writing Data Mining Reports. 12. Principal Component Analysis. 13. Cluster Analysis. PART III: ADVANCED DATA MINING METHODS. 14. Random Forest. 15. Gradient Boosting. 16. Bayesian Networks.

About the author

Dr. Dothang Truong is the Associate Dean and Professor of Graduate Studies at Embry Riddle Aeronautical University, Daytona Beach, Florida. He has extensive teaching and research experience in machine learning, artificial intelligence, data analytics, air transportation management, and supply chain management. In 2022, Dr. Truong received the Frank Sorenson Award for the outstanding achievement of excellence in aviation research and scholarship.

Product details

• Authors: Dothang Truong
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 02.12.2025
• EAN: 9781032740003
• ISBN: 978-1-0-3274000-3
• No. of pages: 600
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Software Engineering, Data Mining, Artificial Intelligence, COMPUTERS / Computer Science, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Algorithms, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, algorithms and data structures, Probability & statistics, Algorithms & data structures, Information technology: general issues, Automatic control engineering, Programming & scripting languages: general, Probability and statistics, Information technology: general topics, COMPUTERS / Data Science / Data Modeling & Design, Programming and scripting languages: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Warehousing