Semi-supervised learning is a type of machine learning where the training data is not fully labeled. This can be a difficult problem to solve because the data is not complete and may not be consistent. There are a few different ways to approach this problem, and the best way depends on the data and the…
Tag: decision-trees
Decision trees that are difficult to interpret
As data sets become increasingly complex, it becomes more difficult to discern patterns and relationships using traditional methods of interpretation. In these cases, artificial intelligence (AI) can be immensely helpful. AI provides new ways of looking at data that can be more effective at finding patterns. Additionally, neural networks – which are a type of…