Unsupervised Learning

Unsupervised machine learning is the machine learning task of inferring a function to describe hidden structure from unlabeled data. Since the examples given to the learner are unlabeled, there is no error or reward signal to evaluate a potential solution – this distinguishes unsupervised learning from supervised learning and reinforcement learning.

Unsupervised learning is closely related to the problem of density estimation in statistics.[1] However, unsupervised learning also encompasses many other techniques that seek to summarize and explain key features of the data.

Computer Science

You are invited to help this AI blog become better - please comment, share, like, etc. to make it more widely known, but please also contact me if you want to share your views on how best this AI blog should be/work.

If you or your company would like to contribute to this blog, please contact me on ai@steve.digital - I welcome any AI related articles/posts & it's free of course.