WHAT IS MACHINE LEARNING?
Machine learning is a technology that teaches computers and robots to learn from experience, using a mathematical-computational approach.
The machine learning system is based on a set of learning algorithms that allow the machines to establish a continuous learning process, to make them able to perform a task without being programmed in advance, thus making them similar to the human experiential learning process, which is able to judge the situation based on its past experiences.
MACHINE LEARNING: MODELS
MACHINE LEARNING: THE APPLICATIONS
Machine learning offers a new perspective in terms of artificial intelligence, guaranteeing the possibility of generic solutions to very wide and articulated problems that are impossible to be solved otherwise, due to the multitude of variables to be analysed. The machine learning applications are numerous. Here you are some:
Marketing: in this context machine learning is used for the analysis of users’ and customers’ habits, anticipating their behaviour and providing solutions to their needs.
Healthcare: in the health sector machine learning has the aim of improving the living conditions of patients. Some concrete applications are those programmes able to analyse the characteristics of the patients and to evaluate the variations of the measured parameters. The aim is to arrive at the predictability of the emergence of critical conditions, thus reducing the hospitalisation of the patients.
Cybercrime: machine learning increases the security of corporate and public networks, making attacks by external parties more difficult. The software studies behaviours looking for malware attacks and preventing intrusion into networks.
Supply Chain Management: machine learning in supply chain management allows monitoring and analysing the entire supply and distribution chain and, at the same time, connecting all the players in the chain.