Machine Learning Algorithms

Arthur Samuel (1959): "Field of study that gives computers the ability to learn without being explicitly programmed". Tom Mitchel (1997): "A computer program is said to learn if its performance at a task T, as measured by a performance P, improves with experience E". Selecting a right machine-learning algorithm depends on several factors, including the data size, quality and nature of data. Choosing the right algorithm is both a combination of business need, specification, experimentation and time available. Here we will explore different machine learning algorithms. In supervised learning, we provide a known dataset that includes inputs and desired outputs.