Machine learning is a powerful tool that helps computers learn and make predictions. There are different types of machine learning systems, like supervised and unsupervised learning. Data scientists commonly use Python or R to build machine learning solutions. These systems can be trained in various ways and can make predictions based on that training. They can also learn and improve over time. The chapter introduces and explains these different types of machine learning systems in detail, showing how they are used in real-world applications.