4. Supervised Learning
● Labeled training data.
● Analyses the training data and produces the function.
● Function can be linear, quadratic, and etc.
5. Supervised Learning
● Labeled training data.
● Analyses the training data and produces the function.
● Function can be linear, quadratic, and etc.
● Example: House price prediction