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....
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Berkeley, CA :
Apress
2019.
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| Edition: | 2nd ed. 2019. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630497506719 |
Table of Contents:
- 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.
