MATLAB Machine Learning Recipes A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular pr...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2024.
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| Edición: | 3rd ed. 2024. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009805122306719 |
Tabla de Contenidos:
- Chapter 1. An Overview of Machine Learning
- Chapter 2. Data Representation
- Chapter 3. MATLAB Graphics
- Chapter 4. Kalman Filters
- Chapter 5. Adaptive Control
- Chapter 6. Neural Aircraft Control
- Chapter 7. Fuzzy Logic
- Chapter 8. Classification with Neural Nets
- Chapter 9. Simple Neural Nets
- Chapter 10. Data Classification. - Chapter 11. Neural Nets with Deep Learning
- Chapter 12. Multiple Hypothesis Testing
- Chapter 13. Autonomous Driving with MHT
- Chapter 14. Case-Based Expert Systems
- Chapter 15. Spacecraft Attitude Determination Using Neural Nets. -Appendix A Brief History of Autonomous Learning
- Appendix B. Software for Autonomous Learning.
