Abstract: In this section, we introduct what is Machine Learning, pattern recognition, and some relative concepts.
Keywords: “Pattern Recognition and Machine Learning”, Introduction, Machine Learning
- Search for Pattern in Data
- Pattern Recognition: Automatic Discover regularities
- Rule & Heuristics (poor result)
- Machine Learning Algorithm
- $y(\vec{x})$
- Training / Learning Phase (train set)
- Generalization (test set)
- Pre-Process
- Feature Extraction
- Speed Up
- Dimensionality Reduction
- Supervised Learning
- Classification
- Regression
- Unsupervised Learning
- Clustering
- Density Estimation
- Visualization
- Reinforcement Learning
- States / Action
- Exploration
- Exploitation
- Tools:
- Probability
- Decision Theory
- Information Theory