Introduction and Models

Abstract

Machine learning algorithms have emerged as the dominant and ubiquitous tool in computer science. From computational biology to search engine problems, these algorithms are being applied to the whole gamut of real-world problems, and the fundamental underlying theory behind these tools must be understood to fully harness the power of their design and application. Via breakthroughs in learning theory, which builds from results in mathematics and theoretical computer science, we are only just beginning to witness payoff in other fields.

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Cite this paper

@inproceedings{Chang2011IntroductionAM, title={Introduction and Models}, author={Jessica Chang}, year={2011} }