Learning process

By learning, we mean the optimization criteria that you are going to use to select the best model parameters. There are various optimization criteria for that:

• Mean square error (MSE)
• Maximum likelihood (ML) criterion
• Maximum a posterior probability (MAP)

The optimization problem may be hard to solve, but the right choice of model and error function makes a difference.