Machine Learning is the idea that a computer can learn from data instead of being told exactly what to do.
Deep Learning is a more advanced part of Machine Learning. It works using something called neural networks, which are designed to act a little like the human brain.

A Neural Network is a system designed to work somewhat like the human brain. It is made up of layers of connected “neurons” that take input, process it, and produce an output.

Computer Vision is the field that focuses on enabling computers to “see” and understand images and videos.

Natural Language Processing, often called NLP, is a part of Artificial Intelligence that helps computers understand, interpret, and respond to human language. In simple terms, it allows machines to read, listen, and even talk like humans.

A chatbot is a computer program designed to talk with people. It can answer questions, give information, or help with tasks. Earlier chatbots were simple and followed fixed rules, so they could only reply in limited ways.

Reinforcement Learning is a method where a computer learns by trying actions and receiving feedback in the form of rewards or penalties.

Predictive Analytics, on the other hand, is about using past data to make predictions about the future.

AI algorithms are the computational methods that enable machines to learn from data and make decisions without being explicitly programmed for every situation.

AI ethics is about ensuring that these intelligent systems are designed and used in ways that are fair, safe, and aligned with human values.