Theoretical, Pratical
What is machine learning? × Proving theorems
computational statistics
broader notion of building computational artifacts that learn over time based on experience.
-supervised learning
-unsupervised learning
-reinforcement learning
1:1, 2:4, 3:9, 4:16, 5:25, 6:36
output <- input ^2
induction and deduction
supervised learning = approximation
unsupervised learning = description
pixels -> Function approximator -> labels
Reinforcement learning
Optimization
supervised learning: labels data well
reinforcement learning: behavior scores well
unsupervised learning: cluster wrests well
