Lab01_Machine_Learning_Concepts

▷ Machine Learning

• Spam filter : many rules
• Automatic driving : too many rules
  • Machine Learning : "Field of study that gives computers the ability to learn without being explicitly programmed"

▷ Supervised/Unsupervised learning

Supervised learning

• learning with labeled examples - training set
• Most common problem type in ML
  • Image labeling : learning from tagged images
  • Email spam filter : learning from labeled spam email
  • Predicting exam score : learning from previous exam score and time spent
    • Predicting final exam score based on time spent : regression (0~100)
    • Pass/non-pass based on time spent : binary classification (pass or non-pass)
    • Letter grade (A,B,C,E and F) based on time spent : multi-label classification (grade)

Unsupervised learning : un-labeled data (difficult to categorize)

• Google news grouping
• Word clustering