Key Algorithms used in AI

Key AI Algorithms

Here are a few important algorithms ones that form the basis of AI:

1. Linear Regression

One of the most widely used algorithms, linear regression helps predict a value (like house prices) based on the relationship between variables.

2. Decision Trees

Decision trees reflect human decision-making by breaking down decisions into a tree-like model. They work well for classification and regression problems.

3. K-Nearest Neighbors (KNN)

KNN classifies data based on the closest data points in the training set. It’s effective for pattern recognition tasks like handwriting or face recognition.

4. Support Vector Machines (SVM)

SVMs classify data by finding the best boundary between different classes.

5. Neural Networks

Neural networks are the basis of deep learning. They consist of layers of nodes that process data and are especially useful in image and speech recognition.

6. Reinforcement Learning

In reinforcement learning, algorithms learn by trial and error, receiving rewards or penalties. It’s how AI can master games like chess or control robots in real-world environments.

Math and Theoretical CS form the foundation of AI.