Introduction to Machine Learning
- Introduction
- Decision Tree Learning
- An Introduction to Artificial Neural Networks
- Single-layer NN
- Multi-layer NN
- An Introduction to Autoencoders
- Bayesian Learning
- An introduction to parameter estimation methods
- An Introduction to Gaussian Mixture Model (GMM)
- Instance-based Learning
- Support Vector Machines
- Dimension Reduction Methods
- Unsupervised Learning (Clustering)