CSCI4521
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CSCI 4521 - Applied Machine Learning for Computer and Data Scientists (3 Cr.)
Course description
An introduction to solving problems with machine learning. Applications of linear algebra, statistical models, non-parametric models (such as clustering, KNN), and non-linear/deep regression & classification. Emphasis is on hands-on experience using modern machine learning libraries to work with numerical data, text, and images.
Prereq: (CSCI 1133 and (CSCI 2033 or MATH 2243/2373/2471/2574H)) or (MATH 4242 and (CSCI 2011 or CSCI 3041 or MATH 2283/2283W))
Prereq: (CSCI 1133 and (CSCI 2033 or MATH 2243/2373/2471/2574H)) or (MATH 4242 and (CSCI 2011 or CSCI 3041 or MATH 2283/2283W))
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
013038
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall & Spring