MATLAB Machine Learning Recipes A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable....
| Autores principales: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2019.
|
| Edición: | 2nd ed. 2019. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630497506719 |
Tabla de Contenidos:
- 1 Overview
- 2 Data Representation
- 3 MATLAB Graphics
- 4 Kalman Filters
- 5 Adaptive Control
- 6 Fuzzy Logic
- 7 Data Classification with Decision Trees
- 8 Simple Neural Nets
- 9 Classification with Neural Nets
- 10 Neural Nets with Deep Learning
- 11 Neural Aircraft Control
- 12 Multiple Hypothesis Testing
- 13 Autonomous Driving with MHT
- 14 Case-Based Expert Systems
- Appendix A: A Brief History of Autonomous Learning
- Appendix B: Software for Machine Learning.
