Graduate Prerequisites: (QSTMK723 OR QSTMK724) - This course introduces students to the foundational machine learning techniques that are transforming the way we do business. Machine learning relies on interdisciplinary techniques from statistics, linear algebra, and optimization to detect structure in large volumes of data and solve prediction problems. Students will gain a theoretical understanding of why the algorithms work, when they fail, and how they create value. They will also gain hands-on experience training machine learning models in Python and deriving insights and making predictions from real-world data. Prior programming experience (or IS833/IS834) is strongly recommended. Note: The course was previously offered under the title "Digital Marketing Analytics," but does not overlap with MK876; students may take both courses for credit.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.