Book Content
chapters • 12h44m total length
1. Getting Started with Matlab Machine Learning
2. Importing and organizing data in Matlab
3. From data to knowledge discovery
4. Finding relationships between variables - Regression techniques
5. Pattern recognition through classification algorithms
6. Identifying groups of data by clustering methods
7. Simulation of human thinking - Artificial neural networks
8. Improves the performance of the machine learning model - Dimensionality reduction
9. Machine learning in practice
