This week, I debated with my friend whether one should consider that Generative AI tools are created through supervised or unsupervised learning. At the end of it, I lost the debate.

Semi-supervised learning combines supervised and unsupervised learning for efficient data analysis. This hybrid approach enhances pattern recognition from large, mixed data sets, saving time and ...

That’s different from supervised and unsupervised learning, but is often combined with them. It has proven useful for training computers to play games and for training robots to perform tasks.

Machine Learning, a dynamic subset of AI, includes systems designed to learn and adapt from data. This is further subdivided into supervised and unsupervised learning.

Unsupervised learning: a form of machine learning in which algorithms analyse and cluster unlabeled data sets, by looking for hidden patterns in the data — without the need for human ...