..
|
code
|
images
|
cs4540-f18-lecture02_linear-algebra.ipynb
|
cs4540-f18-lecture03_convex_sets.ipynb
|
cs4540-f18-lecture04_convexity_multivariable_calculus.ipynb
|
cs4540-f18-lecture05_convex-functions.ipynb
|
cs4540-f18-lecture06_linear-programming.ipynb
|
cs4540-f18-lecture07_linear-programming-duality.ipynb
|
cs4540-f18-lecture08_duality_convexity_PSD.ipynb
|
cs4540-f18-lecture09_gradient-descent.ipynb
|
cs4540-f18-lecture10_gradient-descent-variants.ipynb
|
cs4540-f18-lecture11_gradient-descent-applications.ipynb
|
cs4540-f18-lecture12_fixed-points-newton.ipynb
|
cs4540-f18-lecture13_matrix-decompositions.ipynb
|
cs4540-f18-lecture14_linear-systems.ipynb
|
cs4540-f18-lecture15_eigenvalues-eigenvectors.ipynb
|
cs4540-f18-lecture16_random_variables_maximum_likelihood.ipynb
|
cs4540-f18-lecture17_NaiveBayes.ipynb
|
cs4540-f18-lecture18_NaiveBayes_Beta_Binomial.ipynb
|
cs4540-f18-lecture19_NB_Bet_LogisticReg.ipynb
|
cs4540-f18-lecture20_clustering.ipynb
|
cs4540-f18-lecture21_expectation_maximization.ipynb
|
cs4540-f18-lecture22_em_gmm.ipynb
|
logistic_x.txt
|
logistic_x.txt.1
|
logistic_y.txt
|
logistic_y.txt.1
|
xclara.csv
|