Difference between revisions of "Research in Machine Learning"
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Latest revision as of 10:17, 23 June 2014
Machine learning is about designing algorithms that can make machines (computers) develop knowledge (learn) from empirical observation from, e.g., sensors and data bases, and from interaction with humans. Key parts in machine learning are supervised and unsupervised analysis and recognition of patterns and how “intelligent” decisions can be made from this.
