Dothang Truong

Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

• Gebundenes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 577
• Erscheinungstermin: 23. Februar 2024
• Englisch
• Abmessung: 254mm x 178mm x 32mm
• Gewicht: 1229g
• ISBN-13: 9780367755386
• ISBN-10: 0367755386
• Artikelnr.: 69433166

Autorenporträt

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.

Inhaltsangabe

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.