Programs learn under supervision of a user who knows what the output is supposed to look like. In supervised learning a program is told to copy the actions of the programmer, and the supervisor monitors the program to provide immediate feedback on whether an action was good or bad, right or wrong. For example, the program may monitor how a supervisor has sorted coloured balls into coloured buckets to learn exactly how it is supposed to sort the balls.
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Credits
Module 2: What is Machine Learning?
Allan Partridge, Project Director
Gareth Leach
Nathan Armstrong, Director and President, Motive IndustriesModule 3: Autonomous Vehicles
Special Thanks to Peter Lehner and Nathan Armstrong.
Images and video provided by Jörn Marten Wille, StadtpilotModule 4: History of Machine Learning
Images
Pascaline
Source: David Monniaux
Leibinz
Source: Kolossos - de Technische Sammlungen der Stadt Dresden
Jacquard
Source: George H. Williams
Hollerith Machine
Source: Adam SchusterENIAC
Source: K. Kempf – US Army Photo
Checkers
Source: www.freeimages.co.uk
Module 5: BIM
Video provided by Autodesk