Introduction to Supervised Learning
Supervised learning is a type of machine learning where the model is trained on a labeled dataset. This type of learning involves a dataset that has inputs with corresponding correct outputs. The aim is to learn a mapping from inputs to outputs.
Applications
- Spam detection 📧
- Face recognition 😊Learn more
- Recommendation systems 🛒
Popular Algorithms
- Linear Regression
- Support Vector Machines (SVM)
- Neural Networks
Learn More About Froges
If you love froges as much as we do, don't forget to visit our froge gallery for some ribbiting fun! Here's a sneak peek: