Data Mining/Machine Learning

Catalog description

Prerequisites: MATH 2010 and (MATH 3070 or MATH 3470 or MATH 4470/5470) and CSC 2310 and (CSC 2700 or MATH 2610 or MATH3400). Introduction to a solid grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations, including preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Students will also be introduced to latest advances in the field, including data transformations, ensemble learning, massive data sets, multi-instances learning, with an application towards the leading edge of contemporary research.