×
NEW UPDATES
INTERVIEW QUESTIONS
c
c++
c#
java
python
html
css
php
RDBMS
sql
javascript
jquery
bootstrap
datastructures & ALGORITHMS
webservices
cloud computing
datascience
ARTIFICIAL INTELLIGENCE
GIT
AWS
json
ios
android
spring
hibernate
maven
Microservices
ANGULAR
BLOCKCHAIN
TECHNOLOGIES
KNOWLEDGE2LIFE
C
C++
C#
JAVA
Python
HTML
CSS
php
RDBMS
SQL
JAVASCRIPT
JQUERY
bootstrap
INTERVIEW QUESTIONS
DATASTRUCTURES & ALGORITHMS
WEBSERVICES
CLOUD computing
DATAScience
ARTIFICIAL INTELLIGENCE
NEW UPDATES
GIT
AWS
JSON
IOS
ANDROID
SPRING
HIBERNATE
MAVEN
Microservices
ANGULAR
BLOCKCHAIN
AI TOPICS
AI Basics:
What is AI?
(current)
A brief History of Artificial Intelligence
(current)
Benefits of learning AI
(current)
Why is AI booming now?
(current)
Intelligence
What is Intelligence?
(current)
Types of Intelligence
(current)
What is Intelligence Composed of?
(current)
Difference between Human and Machine Intelligence
(current)
Introduction to AI Levels
(current)
Type of Artificial Intelligence
(current)
Applications of AI
(current)
Agent and Environment
What are Agent and Environment?
(current)
Agent Terminology
(current)
Rationality, What is Ideal Rational Agent?
(current)
The Structure of Intelligent Agents
(current)
The Nature of Environments
(current)
Properties of Environment
(current)
Single Agent Pathfinding Problems
Search Terminology
(current)
Brute-Force Search Strategies
(current)
Informed (Heuristic) Search Strategies
(current)
Local Search Algorithms
(current)
What is Fuzzy Logic?
(current)
Why Fuzzy Logic?
(current)
Fuzzy Logic Systems Architecture
(current)
Example of a Fuzzy Logic System
(current)
Application Areas of Fuzzy Logic
(current)
Advantages of FLSs, Disadvantages of FLSs
(current)
Natural Language Processing
What is NLP?
(current)
Components of NLP
(current)
Difficulties in NLU
(current)
NLP Terminology
(current)
Steps in NLP
(current)
Expert Systems
What are Expert Systems?
(current)
Characteristics of Expert Systems
(current)
Capabilities of Expert Systems
(current)
Components of Expert Systems
(current)
Expert Systems Limitations
(current)
Applications of Expert System
(current)
Expert System Technology
(current)
Development of Expert Systems: General Steps
(current)
Benefits of Expert system
(current)
AI TOPICS
AI TOPICS
AI Basics:
What is AI?
A brief History of Artificial Intelligence
Benefits of learning AI
Why is AI booming now?
Intelligence
What is Intelligence?
Types of Intelligence
What is Intelligence Composed of?
Difference between Human and Machine Intelligence
Introduction to AI Levels
Type of Artificial Intelligence
Applications of AI
Agent and Environment
What are Agent and Environment?
Agent Terminology
Rationality, What is Ideal Rational Agent?
The Structure of Intelligent Agents
The Nature of Environments
Properties of Environment
Single Agent Pathfinding Problems
Search Terminology
Brute-Force Search Strategies
Informed (Heuristic) Search Strategies
Local Search Algorithms
What is Fuzzy Logic?
Why Fuzzy Logic?
Fuzzy Logic Systems Architecture
Example of a Fuzzy Logic System
Application Areas of Fuzzy Logic
Advantages of FLSs, Disadvantages of FLSs
Natural Language Processing
What is NLP?
Components of NLP
Difficulties in NLU
NLP Terminology
Steps in NLP
Expert Systems
What are Expert Systems?
Characteristics of Expert Systems
Capabilities of Expert Systems
Components of Expert Systems
Expert Systems Limitations
Applications of Expert System
Expert System Technology
Development of Expert Systems: General Steps
Benefits of Expert system
Characteristics of Expert System
Characteristics of Expert System
High Efficiency and Accuracy: The expert system provides high efficiency and accuracy when tackling any complex problem in a specified domain.
Understandable: It answers in a way that the user may easily comprehend. It can accept human-language input and produce human-language output.
Reliable: It is extremely dependable in producing an efficient and accurate result.
Extremely responsive: ES returns the answer to any complex query in a very short amount of time.
Prev
Next
