COS 424: Fundamentals of Machine Learning

Computers have made it possible, even easy, to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use those data, and how to extract useful information from them. This problem is faced in a tremendous range of business and scientific applications. This course will focus on some of the most useful approaches to the problem of analyzing large complex data sets, exploring both theoretical foundations and practical applications. Students will gain experience analyzing several types of data, including text, images, and biological data. Semester: Spring17 Lectures: Tuesday,Thursday, 1:30-2:50 Location: TBD Faculty Barbara Engelhardt Office: Computer Science 322 Extension: 0933 Email: bee Additional Information The Undergraduate Coordinator is Colleen Kenny-McGinley Email: ckenny Office: Computer Science 210 Extension: 1746

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