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