Machine Learning Hero

Chapter 4: Supervised Learning Techniques

Supervised learning stands as one of the most prominent and widely applied branches within the vast field of machine learning. This approach involves training algorithms on labeled datasets, where each input example is meticulously paired with its corresponding output label.

The primary objective of supervised learning is to enable the model to discern and internalize the intricate relationships between input features and target variables. By doing so, the model becomes adept at making accurate predictions for new, previously unseen data points.

The realm of supervised learning encompasses two principal categories, each tailored to address specific types of prediction tasks:

• Regression: This category ...