Introduction of machine learning

Abstract

Machine learning, as a subfield of artificial intelligence, is a category of algorithms that allow computers to learn knowledge from examples and experience (data), without being explicitly programmed. Machine-learning algorithms can find natural patterns hidden in massive complex data, which humans can hardly deal with manually.In wireless communications, when you encounter a complex task or problem involving a large amount of data and lots of variables, but without existing formula or equation, machine learning can be a solution. Traditionally, machine-learning algorithms can be roughly divided into three categories: supervised learning, unsupervised learning and reinforcement learning (RL). In this chapter, we present an overview of machine-learning algorithms and list their applications, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of wireless communications practitioners.