[Deep Learning] What is ML?

Machine Learning

• Limitations of explicit programming
  • 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” Arthur Samuel (1959)

Supervised/Unsupervised learning

• Supervised learning:
  • learning with labeled examples
    • training set
  • An example training set for four visual categories

• Unsupervised learning: un-labeled data
  • Google news grouping
  • Word clustering

Supervised learning

• Most common problem type in ML
  • Image labeling: learning from tagged images
  • Email spam filter: learning from labeled (spam or ham) email
  • Predicting exam score: learning from previous exam score and time spent

Types of supervised learning

• Predicting final exam score based on time spent
  • regression
    
• Pass/non-pass based on time spent
  • binary classification
    
• Letter grade (A,B,C,E and F) based on time spent
  • multi-label classification