Introduction to Artificial Intelligence

Artificial Intelligence (AI) is a branch of computer science that studies the computational requirements for tasks such as perception, reasoning, and learning, and develops systems to perform those tasks. AI is a broad field that includes many subfields, such as machine learning, natural language processing, and computer vision.

Components of AI

Learning: The ability to improve performance by learning from experience.
Reasoning: The ability to solve problems through logical deduction.
Problem Solving: The ability to find solutions to problems through observation, analysis, and synthesis.
Perception: The ability to perceive the world through senses.

AI Fields

Machine Learning: The study of algorithms that improve their performance at some task with experience.
Deep Learning: A subfield of machine learning that uses deep neural networks to learn complex patterns in large amounts of data.
Natural Language Processing: The study of algorithms that process human languages.
Computer Vision: The study of algorithms that process images and videos.
Cognitive Computing: The study of algorithms that simulate human thought processes.

Fields of AI

Languages used in AI

Python: Python is the most popular programming language for AI. It is easy to learn and has a large number of libraries for AI.
R: R is a programming language for statistical computing and graphics. It is used for data analysis and machine learning.
Prolog: Prolog is a logic programming language. It is used for symbolic reasoning and expert systems.