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: semi-supervised-learning
Lack of labeled data
The lack of labeled data limits the current state of AI. This is a problem because most data is unstructured and not labeled. We need to find new and creative ways to label data to solve this problem. One way to label data is through active learning. Active learning is a process where the user…