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Artificial Intelligence "AI" - Coggle Diagram
Artificial Intelligence "AI"
Definition
Weak
Strong
Super
Useful Introduction for
Connecting the AI Dots
Topics
Machine Learning "ML"
Deep Learning
Reinforcement Learning "RL"
Robotics
Natural Language Processing "NLP"
Computer Vision "CV"
Knowledge Engineering
Cognitive Computing
AI Big Map
Artificial Intelligence
Introduction
Intelligent Agents
Problem-solving
Solving Problems by Searching
Beyond Classical Search
Adversarial Search
Constraint Satisfaction Problems
Knowledge, reasoning, and planning
Logical Agents
First-Order Logic
Inference in First-Order Logic
Classical Planning
Planning and Acting in the Real World
Knowledge Representation
Uncertain knowledge and reasoning
Quantifying Uncertainty
Probabilistic Reasoning
Probabilistic Reasoning over Time
Making Simple Decisions
Making Complex Decisions
Learning
Learning from Examples
Supervised Learning
Artificial Neural Networks
Practical Machine Learning
Knowledge in Learning
Learning Probabilistic Models
Reinforcement Learning
Communicating, perceiving, and acting
Natural Language Processing
Natural Language for Communication
Perception "Computer Vision"
Robotics
Conclusions
Philosophical Foundations
AI: The Present and Future
Benefits
Automation
Medical Advances
Research and Data Analysis
Solving Complex Problems
Business Continuity
Minimizing Errors
24/7 Availability
Who early wrote
the English Mathematician Alan Turing
Professor John McCarthy
Other Possible Name
Computational Intelligence
Foundations it is built on
Philosophy
Linguistics
Neuroscience
Behavioral Economics
Mathematics
Computer Science
Problems solved by "AI"
Frauds Prevention
Producing more crops
Identifying diseases
Making E-learning much interactive
Making safer driving
Interactive Teacher Assistant "TA"
Smarter energy consumption
Skills
Mathematics
General
Probability
Statistics
More Specific
Calculus
Linear Algebra
Logic
Computer Science
Algorithms & Data Structures
Programming (especially Python)