Unsupervised Learning
Understand unsupervised learning to identify data patterns without predefined labels. Learn about clustering and dimensionality reduction, their applications, and how ML.NET supports these techniques. This lesson helps you grasp when and how to apply unsupervised learning in machine learning projects.
We'll cover the following...
We'll cover the following...
Unsupervised learning is a type of ML where the algorithm is trained on an unlabeled dataset, meaning that the data has no predefined labels or categories. The goal of unsupervised learning is to identify patterns or structures within the data.
Unsupervised learning is used when it's impossible to use supervised learning techniques. It's often ...