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Searching for QSTMK842 returned 1 classes
  • QST MK 842

    Machine Learning for Business Analytics

    Grad Prereq: QST MK 723 or QST MK 724.

    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.

    [ 3 cr.]

    Offered: Either sem.

Abbreviation Glossary

Abbreviation Name
CAS College of Arts & Sciences
CFA College of Fine Arts
CGS College of General Studies
COM College of Communication
EGS College of Engineering and Graduate School of Arts & Sciences
ENG College of Engineering
EOP Center for English Language & Orientation Programs (CELOP)
GMS Graduate Medical Sciences
GRS Graduate School of Arts & Sciences
HUB BU Hub general education program
KHC Questrom School of Business
LAW School of Law
MED School of Medicine
OTP Officer Training Program
PDP Physical Education Recreation and Dance
QST Questrom School of Business
SAR Sargent College
SDM Henry M. Goldman School of Dental Medicine
SED Wheelock College of Education & Human Development
SHA School of Hospitality Administration
SPH School of Public Health
SSW School of Social Work
STH School of Theology
XRG Cross Registration