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Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner book cover

1st Edition

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

By Dothang Truong Copyright 2024
589 Pages 419 Color Illustrations
by Chapman & Hall

589 Pages 419 Color Illustrations
by Chapman & Hall

589 Pages 419 Color Illustrations
by Chapman & Hall
Also available as eBook on:
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... Read more

Part I: Introduction to Data Mining

1. Introduction to Data Mining and Data Science

2. Data Mining Processes, 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

Biography

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

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