In computer science, an algorithm is a set of instructions for solving a problem. It is a step-by-step guide that can be followed by a computer to perform a task.

Big data is a term used to describe the large volume of data that organizations now have access to.

In computer science, a capsule network is a neural network architecture that uses capsules to group together related features and make predictions about the underlying objects.

Computational learning theory is a branch of machine learning that focuses on the study of algorithms that learn from data.

Computational statistics is a field that uses computers to perform statistical analyses.

Computer science is the study of computation and information processing.

Computer vision is an interdisciplinary field that deals with how computers can be made to gain a high-level understanding of digital images or videos.

A convolutional neural network (CNN) is a type of neural network that is particularly well suited for image recognition tasks.

Data analysis is the process of examining data to find trends and patterns.

Data analytics is the process of analyzing data in order to draw conclusions about that data.

Data mining is the process of extracting valuable information from large data sets.

A Generative Adversarial Network, or GAN, is a type of artificial intelligence algorithm used for generating new data.

Pattern recognition is the ability to identify and classify patterns.

Artificial superintelligence (ASI) can generally be described as a computer that has surpassed human intelligence in all areas.

Data science is the study of extracting knowledge and insights from data.

A data scientist is a professional who uses their expertise in mathematics, statistics, and computer science to extract meaning from data.

See Human-Computer Interaction, Human-Computer Interface

Human-computer interaction is the study of how people interact with computers and computer-based systems.