Unsupervised learning excels in domains for which a lack of labeled data exists, but it’s not without its own weaknesses — nor is semi-supervised learning. That’s why, particularly in the ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Despite the success of supervised machine learning and ...

We’re moving on from artificial intelligence that needs training labels, called Supervised Learning, to Unsupervised Learning which is learning by finding patterns in the world. We’ll focus on ...

Well, thanks to unsupervised machine learning, we're getting better at finding people we might know or like on social media platforms. Facebook is a prime example.