Supervised Learning
Understand the fundamentals of supervised learning, where AI models learn from labeled data to make predictions. This lesson covers classification and regression approaches, key algorithms like linear regression and decision trees, and real-world applications such as spam filtering and housing price estimation. Gain insights into how supervised learning predicts outcomes from new data effectively.
We'll cover the following...
We'll cover the following...
Introduction
Machine learning algorithms can be broadly categorized into the following three groups:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Throughout this chapter, we discuss the nuances of each of these categories. However, this lesson focuses specifically on Supervised learning.
Supervised learning
In supervised learning, the training data provided as input to the algorithm includes the final solutions, ...