Programs learn on their own how to organize and analyze input data, with the focus being on the input because the output is unknown. In unsupervised learning the program estimates the techniques and grouping methods to organize the data. For example, when you sign up for an account online, your profile is analyzed to classify your peer group and preferences to provide ads and links that you are more likely to pay attention too.
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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