1st Edition

Demystifying AI Data Science and Machine Learning Using IBM SPSS Modeler

By Dothang Truong Copyright 2026
616 Pages 647 Color & 6 B/W Illustrations
by Chapman & Hall

616 Pages 647 Color & 6 B/W Illustrations
by Chapman & Hall

As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential. Yet, the wide range of available resources can be daunting, posing challenges for beginners. This second book builds on the foundation laid in the first, Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner , providing similar... Read more

PART I Introduction to Data Mining

Chapter 1 Introduction to Data Mining and Data Science

Chapter 2 Data Mining Processes, Methods, and Software

Chapter 3 Data Sampling and Partitioning

Chapter 4 Data Visualization and Exploration

Chapter 5 Data Modification

PART II Data Mining Methods

Chapter 6 Model Evaluation

Chapter 7 Regression Methods

Chapter 8 Decision Trees

Chapter 9 Neural Networks

Chapter 10 Ensemble Modeling

Chapter 11 Presenting Results and Writing Data Mining Reports

Chapter 12 Principal Component Analysis

Chapter 13 Cluster Analysis

PART III Advanced Data Mining Methods

Chapter 14 Random Forest

Chapter 15 Gradient Boosting

Chapter 16 Bayesian Networks

Appendix A

Appendix B

Appendix C

 

Biography

Dothang Truong is the Associate Dean for the School of Graduate Studies and Professor of Aviation Data Science at Embry Riddle Aeronautical University, Daytona Beach, Florida. He has extensive teaching and research experience in machine learning, artificial intelligence, data analytics, aviation safety, 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. He is ranked #1 globally in the specialty of Traffic Management by ScholarGPS (2024) and recognized as a Highly Ranked Scholar—Prior Five Years, placing in the top 0.05% of scholars worldwide for exceptional scholarly productivity, impact, and quality.