Table 4.

Terminology of Artificial Intelligence

Machine Learning Subfield of AI that focuses on the development of algorithms and statistical models that allow computers to learn and make decisions or predictions based on data
Deep Learning Subfield of ML that focuses on different layers of neural networks in order to recognize complex patterns, learn from data, and make decisions without having been explicitly programmed. The term "deep" refers to the depth of neural networks that allows them to extract a hierarchy of features from raw input data
Natural language processing Type of AI that have to teach computers how to analyze human language
Computer vision Subfield of AI that allows machines to derive and interpret information from visual data, images and videos
Expert system Computer program that uses AI to simulate the judgment and behavior of a human being or a group of human beings with specific expertise in a particular field of interest
Neural networks Computer system that are designed to mimic the functions of the human brain
Decision trees Graphical representation of decision-making process
Support vector machines ML algorithm used for classification and regression analysis
Data mining The revelation of patterns and insights in large datasets