Machine learning (ML) is the process of using mathematical models to help a computer learn without direct instructions. This is considered a subset of artificial intelligence (AI). Machine learning uses algorithms to identify patterns in data. These patterns are also used to create a data model that can make predictions. Just as humans improve as they practice more, the results of machine learning become more accurate as the amount of data and experience increases. How Does Machine Learning Work? Machine learning algorithms can be defined as brains that allow machines to learn, making them smarter. The regular exposure of these algorithms to new data and experiences allows them to achieve great work on various tasks related to classification, predictive modeling, and data analysis. The learning process begins with the introduction of training data into the selected algorithm, such as examples, direct experience, instructions, observations to search for patterns in the data. To test whether this algorithm is working correctly, new input data is added to the machine learning algorithm. The prediction and the results are then checked.