Coronary heart disease has emerged as one of the most debilitating conditions that can have a substantial influence on the quality of human life. During the past decade, it has become one of the main causes of death among individuals all over the world, making it one of the leading causes of mortality overall. It is important to arrive at a correct diagnosis of heart disease in a timely manner in order to protect patients from suffering additional complications. The use of non-invasive medical methods, such as those based on artificial intelligence and other forms of machine learning, has become increasingly common in recent years in the area of medicine. In particular, machine learning makes use of a number of algorithms and methods that are not only popular but also quite helpful in effectively identifying cardiac disease in a shorter length of time.