randy goebel

Algorithms & Theory | artificial intelligence | Data Mining & Analysis | Information Extraction & Visualization | machine learning | Natural Language Processing

Randy is interested in the logic of machine learning. He employs non-deductive reasoning techniques, which use specific examples to discover general principles, to build theoretical models that accurately describe and predict the world. For Randy, understanding and explaining a computational process is as important as the process itself.

Randy's research can be applied for performance improvement, data visualization and information extraction.

 

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