Machine Learning

Machine learning tasks are generally categorised into three main areas, which often depends on the type of data that is being analysed: Supervised learning, unsupervised learning and reinforcement learning. The methods all differ in how the machine learning algorithm is "rewarded" for being correct in its predictions or classifications. Supervised Learning - Supervised learning algorithms involve labelled data. That is, data that has been labelled, often manually, with categories (as in supervised classification) or with numerical responses (as in supervised regression). Such algorithms are trained on the data and learn which predictors correspond to which responses.