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CS 412 Machine Learning 3 Credits
This is an introductory machine learning course that will aim a solid understanding of the fundamental issues in machine learning (overfitting, bias/variance), together with several state-of-art approaches such as decision trees, linear regression, k-nearest neighbor, Bayesian classifiers, support vector machines, neural networks, logistic regression, and classifier combination.
Last Offered Terms Course Name SU Credit
Spring 2023-2024 Machine Learning 3
Fall 2023-2024 Machine Learning 3
Summer 2022-2023 Machine Learning 3
Spring 2022-2023 Machine Learning 3
Fall 2022-2023 Machine Learning 3
Summer 2021-2022 Machine Learning 3
Spring 2021-2022 Machine Learning 3
Fall 2021-2022 Machine Learning 3
Summer 2020-2021 Machine Learning 3
Spring 2020-2021 Machine Learning 3
Fall 2020-2021 Machine Learning 3
Summer 2019-2020 Machine Learning 3
Spring 2019-2020 Machine Learning 3
Fall 2019-2020 Machine Learning 3
Summer 2018-2019 Machine Learning 3
Fall 2018-2019 Machine Learning 3
Summer 2017-2018 Machine Learning 3
Fall 2017-2018 Machine Learning 3
Fall 2015-2016 Machine Learning 3
Fall 2014-2015 Machine Learning 3
Fall 2013-2014 Machine Learning 3
Fall 2012-2013 Machine Learning 3
Prerequisite: (MATH 201 - Undergraduate - Min Grade D
and MATH 203 - Undergraduate - Min Grade D)
Corequisite: CS 412R
ECTS Credit: 6 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: