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Computational Methods for Data Scientists
CS 4372
Erik Jonsson School of Engineering and Computer Science
This course will focus on the application of computational tools to solve machine learning problems. Applicable languages may include Python, 'R', Weka, or others at the discretion of the instructor. Students will use these languages to apply machine learning concepts to problem data sets. 3 credit hours.
Corequisite: CS 4375.
Offering Frequency: Each year
Grades: 429
Median GPA: A
Mean GPA: 3.709
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Computational Methods for Data Scientists
CS 4372
Erik Jonsson School of Engineering and Computer Science
This course will focus on the application of computational tools to solve machine learning problems. Applicable languages may include Python, 'R', Weka, or others at the discretion of the instructor. Students will use these languages to apply machine learning concepts to problem data sets. 3 credit hours.
Corequisite: CS 4375.
Offering Frequency: Each year
Grades: 429
Median GPA: A
Mean GPA: 3.709
Click a checkbox to add something to compare.
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