Quick Breakdown of Unsupervised Machine Learning

In unsupervised learning, we do not specify a target variable to the machine, rather we ask the machine “what can you tell me about X”?

To be more specific, we may ask questions such as, given a huge dataset X, “what are the 5 best groups we can make out of X” or “what features occur together with the most frequently in X?”

Under unsupervised learning we have a number of types out of those the main 2 are as follows:

1. Principal Component
2. Clustering

Here are few examples for unsupervised learning, face detection and object detection uses unsupervised learning.

So that's a breakdown about unsupervised learning, and on the next blog let’s talk about Reinforcement learning. 😊