Semi-Supervised Learning

Machine learning is one of the fastest-growing fields in the current technological landscape and it refers to a branch of artificial intelligence that deals with the prediction of outcomes by imitating the way that humans learn and perceive things. When talking about the classification of machine learning, primarily two categories come to mind namely Supervised Learning and Unsupervised Learning. In the following article, I'll be discussing a median path between the two called Semi-Supervised Learning. The primary difference between supervised and unsupervised learning is the type of data used by the algorithms. Supervised learning works on labelled data while unsupervised learning works on grouping or classifying the data based on similarities or differences rather than labels.