Machine learning is an artificial intelligence subfield (AI). The goal of machine learning in general is to comprehend the structure of data and fit that data into models that people can understand and use.
Because programs learn from examples, machine learning is exciting. A machine learning method can automatically examine and understand the structure already there in the data that you have collected in order to deliver a solution to the problem you are attempting to address.
Every machine learning algorithm has three main components, which are as follows: Representation: the appearance of the model; how knowledge is represented. How are good models differentiated? How are programs evaluated? Optimization is the process of identifying excellent models and generating programs.