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DATASCI 410 - Machine Learning for Data Science

Description
Introduces modern machine learning. Machine learning is an active and growing field that is the bases of modern data mining and big data techniques. The course aims at the balance of the theoretical versus practical spectrum. The course covers the concepts behind several machine learning algorithms without going deeply into the mathematics. Students will gain practical experience applying machine learning using Python and related modules. Applications include pattern recognition and artificial intelligence, making the course valuable to students interested in data science, engineering, and intelligent agent applications. Enrollment Requirements: DATASCI 110 Introduction to Data Science and MATH 241 Probability and Statistics.
Credits
3
Recent Professors
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Recent Semesters
Spring 2022, Fall 2018
Offered
MWF
Avg. Sections
1