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..
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code
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fall2018
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images
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cs4540-f19-lecture01_welcome_and_introduction.ipynb
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cs4540-f19-lecture02_linear-algebra.ipynb
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cs4540-f19-lecture03_convex_sets.ipynb
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cs4540-f19-lecture04_convexity_multivariable_calculus.ipynb
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cs4540-f19-lecture05_convex-functions.ipynb
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cs4540-f19-lecture06_convexity_PSD.ipynb
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cs4540-f19-lecture07_gradient-descent.ipynb
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cs4540-f19-lecture08_least_squares_SVM_logistic_regression.ipynb
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cs4540-f19-lecture09_online_learning_weighted_majority.ipynb
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cs4540-f19-lecture10_online_convex_optimization.ipynb
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cs4540-f19-lecture12_SGD_online_to_batch.ipynb
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cs4540-f19-lecture13_linear-programming.ipynb
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cs4540-f19-lecture14_linear-programming-duality.ipynb
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cs4540-f19-lecture15_duality_and_game_theory.ipynb
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cs4540-f19-lecture17_boosting.ipynb
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cs4540-f19-lecture18_game_approximation.ipynb
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cs4540-f19-lecture19_fixed_points_newtons_method.ipynb
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cs4540-f19-lecture20_linear-systems.ipynb
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cs4540-f19-lecture21_eigenvalues-eigenvectors.ipynb
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cs4540-f19-lecture22_clustering.ipynb
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cs4540-f19-lecture24_sampling_markov_chains.ipynb
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logistic_x.txt
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logistic_x.txt.1
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logistic_y.txt
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logistic_y.txt.1
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xclara.csv
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