Hui Jiang was born and raised in China, and she came to the United States as a graduate student in the early 1990s. Over the years, she worked as a professional in various industries and now owns a successful business. The author has lived in Texas for more than thirty years, where she raised two wonderful children.
Inhaltsangabe
1. Introduction 2. Mathematical Foundation 3. Supervised Machine Learning (in a nutshell) 4. Feature Extraction 5. Statistical Learning Theory 6. Linear Models 7. Learning Discriminative Models in General 8. Neural Networks 9. Ensemble Learning 10. Overview of Generative Models 11. Unimodal Models 12. Mixture Models 13. Entangled Models 14. Bayesian Learning 15. Graphical Models.
