Getting Started with MATLAB Machine Learning
Practical examples of regression, clustering and neural networks
Created by Giuseppe Ciaburro
Explore practical machine learning techniques using MATLAB, from preparing and visualizing data to building models for regression, clustering, and neural networks. Gain hands-on experience applying these methods to real-world data and learn how to extract meaningful insights efficiently.
Packt | Nov 2017 | 108 min
What You Will Learn
You will work through step-by-step projects that guide you from setting up MATLAB for machine learning to applying advanced modeling techniques. Each topic builds on the last, using practical examples and real data to reinforce your understanding and help you apply new skills right away.
Key Features
- Clean, organize, and visualize data using MATLAB's intuitive tools
- Apply regression, clustering, and neural network models to real datasets
- Use feature selection and extraction to boost model performance
Target Audience
Ideal for data analysts, researchers, or students with some math and stats background who want to expand their machine learning skills in MATLAB. If you are looking to move beyond theory and start building predictive models with your own data, you'll find clear guidance and actionable techniques here.
