AI, Machine Learning and Robotics Terms

AI, Machine Learning and Robotics is an important and growing field. Challenge yourself to learn just one of these terms each day.

Artificial Intelligence - A branch of computer science that focuses on building smart machines to mimic human behavior.

Machine Learning - A branch of computer science that focuses on the use of data and algorithms to imitate the way that humans learn. 

Robotics - A branch of technology that involves the design, construction, operation and use of robots. 

Algorithm - A set of rules that a machine can follow to learn how to do a particular task. 

Classification - An algorithm technique that allows machines to group similar data into larger data categories.

Dataset - A collection of related sets of information.

Data Mining - The examination of data sets to discover patterns from the data that can be of further use.

Big Data - Large amounts of structured and unstructured data that is too complex to be handled by standard data-processing software.

Autonomous - Capable of performing tasks without human intervention. 

Chatbots (or Bots) - Programs that run within websites and apps that interact directly with users to help them with simple tasks. 

Supervised Learning - A type of learning that does not function independently but requires human input.

Unsupervised Learning - A type of learning that requires little or no human involvement. 

Image Recognition - The ability of software to recognize objects, places, people, writing and actions in images.

Pattern Recognition - Automated recognition of patterns found in data. 

Deep Learning - A field of machine learning that focuses on creating algorithms that are inspired by the brain.

Natural Language Processing - The ability of a program to recognize human communication as it is meant to be understood.

Machine Perception - The ability of a system to interpret data from the outside world similar to the way that humans use their senses.

Transfer Learning - A system that uses previously learned data and applies it to a new set of tasks.

Unstructured Data - Data that does not have easily searchable patterns (for example, audio, video and social media content).

Turing Test - A test created by computer scientist Alan Turing in 1950 to see if machines could exhibit intelligence equal to or indistinguishable from that of humans.

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