- Hypothesis Function: model. Function that predicts desired value based on provided parameters. h(x) = y
- Cost Function: Determines how effective a model is by analyzing how acurately it predicts an already labeled set
- Gradient Descent: Minimizes the cost function by finidng the best value for parameters
On gradient descent intuition