London, United Kingdom

Machine Learning for Visual Data Analytics

Master's
Language: EnglishStudies in English
Subject area: engineering and engineering trades
Qualification: MSc
Kind of studies: full-time studies, part-time studies
Master of Science (MSc)
University website: www.qmul.ac.uk
Analytics
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
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
Looking back over the last thousand years, one can divide the development of the machine and the machine civilization into three successive but over-lapping and interpenetrating phases: eotechnic, paleotechnic, neotechnic … Speaking in terms of power and characteristic materials, the eotechnic phase is a water-and-wood complex: the paleotechnic phase is a coal-and-wood complex… The dawn-age of our modern technics stretches roughly from the year 1000 to 1750. It did not, of course, come suddenly to an end in the middle of the eighteenth century. A new movement appeared in industrial society which had been gathering headway almost unnoticed from the fifteenth century on: after 1750 industry passed into a new phase, with a different source of power, different materials, different objectives.
Lewis Mumford, Technics and Civilisation (1934), 109.
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
Although it is not, abstractedly speaking, of importance to know who first made a most valuable experiment, or to what individual the community is indebted for the invention of the most useful machine, yet the sense of mankind has in this, as in several other things, been in direct opposition to frigid reasoning; and we are pleased with a recollection of benefits, and with rendering honour to the memory of those who bestowed them. Were public benefactors to be allowed to pass away like hewers of wood and drawers of water, without commemoration, genius and enterprise would be deprived of their most coveted distinction, and after-times would lose incentives to that emulation which urges us to cherish and practise what has been worthy of commendation or imitation in our forefathers; and to make their works, which may have served for a light and been useful to the age in which they lived, a guide and a spur to ourselves
Henry Englefield Cited in: Bennet Woodcroft. Brief Biographies of Inventors of Machines for the Manufacture of Textile ... (1863) p. xiv.
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