Machine learning is when a program can improve its own performance through experience. These programs learn each time they complete a task and see the results. Being able to develop such programs requires an understanding of computer science, statistics, logic, decision and game theory, optimization, and learning psychology.
This kind of computer programming uses algorithms. Algorithms are a sequence of instructions that allow a program to select data and repeat an experience many times, improving each time.
Check out how a few experts in the field of machine learning define it!
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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