is big because the machine is only given the input and it has to figure out the output on its own so there's no supervisor here or there's no mentor over here in reinforcement learning there is no predefined data and the whole reinforcement learning process itself is a training and testing phase since there is no predefined data given to the machine it has to learn everything on its own and it starts by exploring and collecting data the next parameter we're going to discuss is the aim of each of these machine learning