Artificial Intelligence (AI) - Enhance Your Skills

The App provides a refreshing and motivating new synthesis of the field of Artificial Intelligence: A New Synthesis takes the user on a complete tour of this intriguing new world of AI.

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do.

This App discusses the ways in which computational ideas and computer modelling can aid our understanding of human and animal minds.

What is Artificial intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. The processes include learning, reasoning and self-correction. AI is accomplished by studying how the human brain thinks, and how humans learn, decide, and work while trying to solve a problem.

Discover how to build intelligent applications centred on images, text, and time-series data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. You'll learn about various algorithms that can be used to build Artificial Intelligence apps.

【Topics Covered Listed Below】

AI Introduction
Application of AI
History of AI
Types of AI
Types of Agents
Intelligent Agent
Agent Environment
Turing Test in AI
Search Algorithms
Uninformed Search Algorithm
Informed Search Algorithms
Hill Climbing Algorithm
Means-Ends Analysis
Adversarial search
Minimax Algorithm
Alpha-Beta Pruning
Knowledge-Based Agent
Knowledge Representation
Knowledge Representation Techniques
Propositional Logic
Rules of Inference
The Wumpus world
knowledge-base for Wumpus World
First-order logic
Knowledge Engineering in FOL
Inference in First-Order Logic
Unification in FOL
Resolution in FOL
Forward Chaining and backward chaining
Backward Chaining vs forwarding Chaining
Reasoning in AI
Inductive vs. Deductive reasoning
Probabilistic Reasoning in AI
Bayes theorem in AI
Bayesian Belief Network
Subsets of AI
Expert Systems