Introduction to Unsupervised Learning

Unsupervised learning is a very popular form of machine learning where the dataset is presented to the algorithm without having labels present. This means that the algorithm will have to find the underlying structure present in the data to make sense of it and learning based on the same. Unsupervised learning is used for machine vision, NLP, visualization, anomaly detections and a lot of other interesting and important applications. This course aims to provide you with information that will help you understand what unsupervised learning algorithms are and more importantly how they work to solve important problems around us.