Machine Learning with Matlab
Machine Learning with Matlab
1. Introduction to Machine Learning
- Introduction
- Elements of Machine Learning
- Data
- Models
- Training
- Supervised Learning
- Unsupervised Learning
2. The Learning Machine and Autonomous Learning Methods
- Regression
- Neural Nets
- Support Vector Machines
- Decision Trees
3. History of Autonomous Learning
- Introduction
- Artificial Intelligence
- Learning Control
- Machine Learnin
4. Representation of Data for Machine Learning in MATLAB
- Introduction to MATLAB Data Types
- Matrices
- Cell Arrays
- Data Structures
- Numeric
- Images
- Data store
- Sparse Matrices
- Tables and Categorical
- Data Structure Using Parameters
5. MATLAB Graphics
- Two-Dimensional Line Plots
- General 2D Graphics
- Custom 2D Diagrams
- Three-Dimensional Box
- Draw a 3D Object with a Texture
- General 3D Graphics
- Building a Graphical User Interface
6. Machine Learning Examples in MATLAB
- Introduction
- Machine Learning
- Neural Networks
- Face Recognition
- Data Classification
- Control
7. Face Recognition with Machine Learning
- Obtain Data Online: For Training a Neural Network
- Generating Data for Training a Neural Net
- Convolution
- Convolution Layer
- Fully Connected Layer
- Determining the Probability
- Test the Neural Network
- Recognizing an Image
8. Data Classification
- Generate Classification Test Data
- Drawing Decision Trees
- Decision Tree Implementation
- Implementing a Decision Tree
- Creating a Hand-Made Decision Tree
- Training and Testing the Decision Tree
9. Support Vector Machine
- Data
- Training
- Test
- Classification
- Accuracy
10. Projects
- Classification of Numbers Using Neural Networks
- Image Classification Using SVM
- Predication Based Neural Network Design