Introduction to Artificial Intelligence

Artificial Intelligence (AI) involves creating machines and systems capable of performing tasks that typically require human intelligence. This includes problem-solving, learning, perception, and language understanding, aiming to replicate or enhance human cognitive functions.

Machine Learning (ML)

A subset of AI, machine learning involves algorithms that allow systems to learn from data and improve their performance over time without being explicitly programmed. It is used for predictive analytics, pattern recognition, and decision-making.

Deep Learning

Deep learning is a branch of machine learning that uses neural networks with many layers to model complex data patterns. It is particularly effective for tasks such as image and speech recognition, natural language processing, and playing strategic games.

Supervised Learning

Supervised learning involves training a model on a labeled dataset, where the input-output pairs are known. The model learns to predict the output for new inputs based on this training, commonly used in tasks like classification and regression.