Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
means that there is no fixed output variable. The model learns from the data discovers patterns and features of the data and returns the output. Here is an example of an unsupervised learning technique that uses the images of vehicles to classify them as a bus or a car or a truck. So the model