Understanding Unsupervised Learning
Unsupervised learning is a type of machine learning where the model is trained on data without any explicit instructions on what to predict. It's often used for discovering the underlying structure of the data.
Popular techniques in unsupervised learning include clustering, association, and dimensionality reduction. Some fantastic applications are:
- Market Basket Analysis 🛒
- Customer Segmentation 👫
- Genetic Data Classification 🧬
Explore more about machine learning and AI:
What's your favorite unsupervised learning algorithm?