What are the branches of artificial intelligence
Answers
Branches of Artificial Intelligence are
Machine learning. ...
Neural Network. ...
Robotics. ...
Expert Systems.
Fuzzy Logic. ...
Natural Language Processing....
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Answer:
The most important branches of Artificial intelligence are here listed one-by-one
Machine Learning - ML is a method of data analysis automating analytical model building. It’s a branch of AI based on the idea of systems learning from data, identifying patterns and making decisions with very little human interception.
Deep Learning - Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. This Learning can be divided into three categories-: supervised, semi-supervised or unsupervised.
Natural Language Processing - NLP is a subfield of linguistics, computer science, information engineering, and AI which deals with the interactions between computers and human languages. It’s specifically concerned with programming computers to process and analyze large amounts of natural language data
Robotics - As obvious from it’s name, Robotics is the study of robot technology which makes use of disciplines like dynamic system modeling and analysis, mathematics, physics, biology, mechanical engineering, electrical and electronic engineering, computer science and engineering, and automation (sensors, control, and actuators) technology
Expert Systems - In AI, an expert system is a computer system which emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
Fuzzy Logic - Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.
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