Unsupervised Learning: Discovering Hidden Patterns In The Data Deluge
Unsupervised learning, a fascinating branch of machine learning, empowers Computers to find hidden patterns and insights within data without explicit human guidance. Unlike supervised learning, which relies on labeled datasets to train models, unsupervised learning algorithms explore unlabeled data to discover structures, relationships, and anomalies. This approach proves invaluable in diverse applications, from customer segmentation and anomaly detection to dimensionality reduction and recommendation systems. Let's delve into the intricacies of unsupervised learning, exploring its core concepts, techniques, and real-world applications.
Understanding Unsupervised Learning
What is Unsupervised Learning?
Unsupervised learning is a type of machine learning algorithm used to draw inferences fr...

