An Easy Introduction to Unsupervised Learning

Unsupervised learning techniques are a relatively obscure, and fairly advanced set of tools that often serve as a valuable precursor to more popular supervised techniques such as regression or classification. In the absence of a large corpus of labeled data points for the training process, unsupervised learning techniques ride to the rescue.

In this course we explore the theory of unsupervised machine learning, and implement such models in TensorFlow.