COMP SCI 532
— MATRIX METHODS IN MACHINE LEARNING
University of Wisconsin-Madison
Po-Ling Loh 54 grades · 1 term · 2019 3.76GPA
54 letter grades · 1 section · 2019
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Bernie Lesieutre 48 grades · 1 term · 2025 3.66GPA
48 letter grades · 1 section · 2025
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Matthew Malloy 260 grades · 3 terms · 2019–2022 3.61GPA
260 letter grades · 3 sections · 2019–2022
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Pedro Maravilha Morgado 148 grades · 2 terms · 2022–2023 3.60GPA
148 letter grades · 2 sections · 2022–2023
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Kang Wook Lee 184 grades · 2 terms · 2019–2022 3.57GPA
184 letter grades · 2 sections · 2019–2022
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Barry Vanveen 217 grades · 3 terms · 2018–2020 3.57GPA
217 letter grades · 3 sections · 2018–2020
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Eduardo Romero Arvelo 542 grades · 4 terms · 2021–2024 3.53GPA
542 letter grades · 7 sections · 2021–2024
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Yu Hu 86 grades · 2 terms · 2020–2023 3.51GPA
86 letter grades · 2 sections · 2020–2023
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Robert Nowak 254 grades · 5 terms · 2014–2022 3.50GPA
254 letter grades · 5 sections · 2014–2022
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Rebecca Lu 101 grades · 1 term · 2017 3.47GPA
101 letter grades · 1 section · 2017
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William Sethares 30 grades · 1 term · 2011 3.47GPA
30 letter grades · 1 section · 2011
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Dimitrios Papailiopoulos 45 grades · 1 term · 2023 3.46GPA
45 letter grades · 1 section · 2023
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Dominic Gross 85 grades · 1 term · 2025 3.38GPA
85 letter grades · 1 section · 2025
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Grigoris Chrysos 122 grades · 2 terms · 2024–2025 3.38GPA
122 letter grades · 2 sections · 2024–2025
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Laurent Lessard 90 grades · 1 term · 2016 3.27GPA
90 letter grades · 1 section · 2016
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Ramya Korlakai Vinayak 130 grades · 2 terms · 2020–2025 3.16GPA
130 letter grades · 3 sections · 2020–2025
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