【PRML】Introduction 介绍

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

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