This is a short course on machine learning, describing my *personal perspective* on *inference* and *decision making*.
Inference refers to how we assess a situation under uncertainty, and decision making implies action under uncertainty.
I say 'personal perspective' to indicate that I'll be as rigorous as or as brief as I deem appropriate to convey my insight.

- Probability
- State Space
- Decision Theory
- Big Picture of Machine Learning
- Point Estimation
- Deterministic Inference
- Stochastic Inference
- MCMC

- Information Theory
- Linear Regression
- Logistic Regression
- Artificial Neural Network
- Backpropagation

- Probabilistic Graphical Model
- Directed Graphical Model
- Undirected Graphical Model

- Singular Value Decomposition
- PageRank