ABSTRACT
Machine learning refers to the scientific process of facilitating computers to ‘learn’ by themselves through self-adaption methods and techniques. It is a subfield of artificial intelligence, which includes computer vision, robotics and natural language processing, for example. Machine learning is a category of algorithm that allows software applications to learn from previous computations to make repeatable decisions and predictions without the need for explicit, rules-based programming. There are two broad categories of machine learning task: supervised learning and unsupervised learning. Machine learning is used by researchers in a number of disciplines and fields of study, examples of which include hospitality and tourism, architecture, psychology, sociology, health and medicine, renewable energy and cyber security. There are a wide variety of digital tools and machine learning software packages available, aimed at researchers, the health sector and business. Some are open source whereas others have significant costs attached.
