0. Intro > 0-2. Introduction - Summary
What?
Performance ↑ improves with Experience ↑
E : Experience
T : Task
P : Performance
Why?
- Exact method unknown
- Exact method expensive
- Dynamic System : Task change over time
- Automate process
- Replace humans
How?
| Supervised Learning | Unsupervised Learning | Reinforcement Learning |
| ← labeled data (x,y) | ← unlabeled data | Penalty |
| training dataset | just input dataset | |
| prediction | analysis | |
| Regression : predict continuous value - Linear regression - NN Classification : predict discrete value - Logistic reggression - NN,SVM |
Clustering PCA = Dimensionality reduction Density estimation |
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