Gdańsk, Poland

Machine Learning

Uczenie maszynowe

Master's
Table of contents
abstract-technology-artificial-intelligence-ai-digital-binary-data-big-data-concept

Machine Learning at PG

Field of studies: Computer Science
Language: Polish and EnglishStudies in Polish and EnglishStudies in Polish and English
Kind of studies: full-time studies, part-time studies
University website: pg.edu.pl/en/university

Definitions and quotes

Machine
A machine uses power to apply forces and control movement to perform an intended action. Machines can be driven by animals and people, by natural forces such as wind and water, and by chemical, thermal, or electrical power, and include a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement. They can also include computers and sensors that monitor performance and plan movement, often called mechanical systems.
Machine Learning
Machine learning is a field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
Machine
It’s possible to imagine a machine that could scoop up material – rocks from the Moon or rocks from asteroids – process them inside and produce just about any product: washing machines or teacups or automobiles or starships. Once such a machine exists it could gather sunlight and materials that it’s sitting on, and produce on call whatever product anybody wants to name, as long as somebody knows how to make it and those instructions can be given to the machine.
Theodore Taylor (1978) as quoted in Nigel Calder, Spaceships of the Mind, Viking Press, New York, 1978; quoted in Robert A. Freitas Jr., Ralph C. Merkle, Kinematic Self-Replicating Machines, Landes Bioscience, Georgetown, TX, 2004
Machine
We must ask whether our machine technology makes us proof against all those destructive forces which plagued Roman society and ultimately wrecked Roman civilization.
Robert Strausz-Hupe, Philadelphia Inquirer (1978).
Machine
One machine can do the work of fifty ordinary men. No machine can do the work of one extraordinary man.
Elbert Hubbard, The Roycroft Dictionary and Book of Epigrams, 1923.
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