I. Supervised Learning
- Given: a dataset and correct output
- Categorized into:
- Regression: predict results within a continous output
- Classification: predict results in a discrete output
II. Unsupervised Learning
- Approach problems with little or no idea what results should look like.
- We can drive structure by clustering the data based on relationships among the variables in the data.
- There's no feedback based on the prediction results.
III. Gradient Descent