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The Master of Science in Applied Machine Learning offers students the opportunity to engage in cutting edge technical course work in machine learning and develop their problem solving skills in the art and science of processing and extracting information from data with special emphasis on large amounts of data (Big Data). During their coursework, students will build solid foundations in mathematics, statistics and computer programming, and explore advanced topics in machine learning such as deep learning, optimization, big data analysis and signal/image understanding. The program consists of 30-credit course work and is a non-thesis MS program.
Application. Official Transcripts / Diplomas / Degrees. Letter of Recommendation (1 optional). Statement of Purpose. CV. TOEFL iBT: 95 (Speaking: 22, Reading: 26, Listening & Writing: 24) OR IELTS 7.0 overall (Speaking: 6.5, Reading, Listening & Writing: 7.0). Description of Research/Work Experience Prior Coursework: Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics etc.). Proficiency in Programming Language.
ProgrammerML Algorithm Engineer
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University of Maryland College Park
