Cracow, Poland

Machine Learning in Data Analytics

Uczenie maszynowe w analityce danych

Table of contents

⇑Machine Learning in Data Analytics at AGH

⇑Definitions and quotes

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
If machines produce everything we need, the outcome will depend on how things are distributed. Everyone can enjoy a life of luxurious leisure if the machine-produced wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.
Stephen Hawking, quoted in "Stephen Hawking Says We Should Really Be Scared Of Capitalism, Not Robots" Huffington Post, October 8, 2015.
Machine
Leaving aside genetic surgery applied humans, I foresee that the coming century will place in our hands two other forms of biological technology which are less dangerous but still revolutionary enough to transform the conditions of our existence. I count these new technologies as powerful allies in the attack on Bernal's three enemies. I give them the names “biological engineering” and “self-reproducing machinery.” Biological engineering means the artificial synthesis of living organisms designed to fulfil human purposes. Self-reproducing machinery means the imitation of the function and reproduction of a living organism with non-living materials, a computer-program imitating the function of DNA and a miniature factory imitating the functions of protein molecules. After we have attained a complete understanding of the principles of organization and development of a simple multicellular organism, both of these avenues of technological exploitation should be open to us.
Freeman Dyson, from 3rd J.D. Bernal Lecture, Birkbeck College London (16 May 1972), The World, the Flesh and the Devil (1972), 6. Collected in The Scientist as Rebel (2006), 292. (The World, the Flesh & the Devil: An Enquiry into the Future of the Three Enemies of the Rational Soul is the title of a book by J. D Bernal, a scientist who pioneered X-ray crystallography.)
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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