#machinelearning#supervisedlearning#unsupervisedlearning
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1.4M views14 years ago5 recommendations
AI and machine learningComputer scienceClassic machine learningMath for machine learning
Yaser Abu-Mostafa introduces the fundamentals of machine learning, covering supervised, unsupervised, and reinforcement learning paradigms.
The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - itunes.apple.com/us/course/machine-learning/id515364596 and on the course website - work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.What people say. Recommended as an exceptionally clear and elucidating introduction to machine learning concepts and models.
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