Note: This course is not available for the current semester.
Course No: COMP.5450; Last Offered: No Data;
This introductory course gives an overview of machine learning techniques used in data mining and pattern recognition applications. Topics include: foundations of machine learning, including statistical and structural methods; feature discovery and selection; parametric and non-parametric classification; supervised and unsupervised learning; use of contextual evidence; clustering, recognition with strings; small sample-size problems and applications to large datasets.
Contact the Advising Center at 978-934-2474 or Continuing_Education@uml.edu
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