About Learn Artificial Intelligence
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"
MS Excel and MS Word shorts is bonus in this app.
Application covers following Aspects of Artificial Intelligence
Artificial Intelligence- Introduction
Philosophy of AI
Goals of AI
What Contributes to AI?
Programming Without and With AI
What is AI Technique?
Applications of AI
History of AI
What is Intelligence?
Types of Intelligence
What is Intelligence Composed of?
Difference between Human and Machine Intelligence
Artificial Intelligence - Research Areas
Working of Speech and Voice Recognition Systems
Real Life Applications of AI Research Areas
Task Classification of AI
What are Agent and Environment?
Agent Terminology
Rationality
What is Ideal Rational Agent?
The Structure of Intelligent Agents
Nature of Environments
Properties of Environment
AI - Popular Search Algorithms
Search Terminology
Brute-Force Search Strategies
Comparison of Various Algorithms Complexities
Informed (Heuristic) Search Strategies
Local Search Algorithms
Simulated Annealing
Travelling Salesman Problem
Fuzzy Logic Systems
Fuzzy Logic Systems Architecture
Example of a Fuzzy Logic System
Application Areas of Fuzzy Logic
Advantages of FLSs
Disadvantages of FLSs
Natural Language Processing
Components of NLP
Difficulties in NLU
NLP Terminology
Steps in NLP
Implementation Aspects of Syntactic Analysis
Top-Down Parser
Expert Systems
Knowledge Base
Inference Engine
User Interface
Expert Systems Limitations
Applications of Expert System
Expert System Technology
Development of Expert Systems: General Steps
Benefits of Expert Systems
Robotics
Difference in Robot System and Other AI Program
Robot Locomotion
Components of a Robot
Computer Vision
Application Domains of Computer Vision
Applications of Robotics
Neural Networks
Types of Artificial Neural Networks
Working of ANNs
Machine Learning in ANNs
Bayesian Networks (BN)
Building a Bayesian Network
Applications of Neural Networks
AI - Issues
A I- Terminology
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APP FEATURES
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- Responsive and easy to navigate.
- Easy access to the key issues in Artificial Intelligence.
- Share your favorite Artificial Intelligence material with your friends and family.
- Set your favorite pictures as wallpapers or save them to Favorite
- Search Functionality helps you search terms easily
- Bookmark as favourites to access words later.s
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