Netacea's approach to machine learning: unsupervised and supervised models

Our world is driven by technological innovation. Recent years have seen many companies adopt artificial intelligence (AI) and machine learning technology to analyze larger data sets and perform more complex tasks with faster and more accurate results. This is not limited to technology-based industries such as computer science -- now, many industries work continuously to enhance their technology to keep up with consumer expectations, with data-based decision making often central to this drive. Designed to imitate the way that humans learn, machine learning technology makes use of data and algorithms to gather knowledge and gradually improve accuracy over time. There are many machine learning applications; the two most commonly used and referred to machine learning models are supervised learning and unsupervised learning.