Differentiate between the three types of learning (Supervised, Unsupervised, Reinforcement), and list one application for each type.
Differentiate between the three types of learning (Supervised, Unsupervised, Reinforcement), and list one application for each type.
Supervised
Supervised learning is the machine learning method in which the models are trained using the labeled data. In supervised learning models need to find mapping function to map input variable (X) with output variable (Y). Y = f(X)
Unsupervised
Unsupervised learning is a machine learning method in which the patterns inferred from unlabeled input data. Goal of the unsupervised learning is to find structure and pattern from input data. Unsupervised learning does not need supervision, instead it finds the patters from data by its own.
Reinforcement
Reinforcement learning is a type of the learning that is based on the interaction with environment. It is growing along with producing the huge variety of the learning algorithm that can used for various machine learning application.
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