Introduction to Machine Learning
author: John Quinn,
Faculty of Computing and Informatics Technology, Makerere University
published: March 31, 2011, recorded: February 2011, views: 25128
published: March 31, 2011, recorded: February 2011, views: 25128
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Description
This talk gives an overview of machine learning from a practical perspective. Starting with examples of problems we might want to solve (in vision, signal processing, and geospatial inference), and the assumptions we have to make in order to get anywhere, it then covers a number of different supervised and unsupervised learning techniques. The talk concludes with ideas on how to evaluate a system, and when we should believe that a model is "right".
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Thats truly a cookbook approach John
Machine learning is great
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