├── Makefile ├── README.md ├── exercises ├── Autograd_Introduction.ipynb ├── Bayesian_Linear_Regression_MCMC.ipynb ├── KNN1.ipynb ├── Logistic_Regression_1.ipynb ├── Logistic_Regression_2.ipynb ├── MNIST_Classification.ipynb ├── NMF.ipynb ├── NMF_Newsgroup20.ipynb ├── PCA_MNIST.ipynb ├── PCA_Newsgroup20.ipynb ├── Perceptron.ipynb ├── RBFN.ipynb ├── SVM.ipynb ├── SVM_vs_LogReg.ipynb └── Weight_Analyzer_Multiclass.ipynb ├── figures ├── adaptive_basis1.png ├── adaptive_basis2.png ├── bayes_linreg_mlp.pdf ├── bayes_logreg.pdf ├── conditionals.pdf ├── dummy ├── gamma.pdf ├── gauss.pdf ├── joint.pdf ├── kmeans_exp.png ├── kmeans_local.png ├── kmeans_local2.png ├── kmeans_max.png ├── knn_1.png ├── knn_100.png ├── knn_20.png ├── knn_5.png ├── loss.pdf ├── mds_cities.png ├── neverever.png ├── nmf.png ├── nmf_doc.png ├── overfit1.pdf ├── overfit2_tes.pdf ├── overfit2_tra.pdf ├── perceptron_failure.pdf └── xor_transform.pdf ├── homeworks ├── curve.png ├── hw1.pdf ├── hw1.tex ├── hw2-Copy1.ipynb ├── hw2.ipynb ├── hw2.pdf ├── hw2.tex ├── hw3.ipynb ├── hw3.pdf ├── hw3.tex ├── hw4.ipynb ├── hw4.pdf ├── hw4.tex ├── hw5.pdf ├── hw5.tex ├── hw6.pdf ├── hw6.tex ├── hw6_nmf.ipynb ├── hw6_pca.ipynb ├── mnist.npz └── mysterious_image_t.p ├── lecture_note.bib ├── lecture_note.pdf ├── lecture_note.tex └── notebook ├── Adaptive Basis Function Network 1.ipynb ├── Autograd_Introduction.ipynb ├── Bayesian Logistic Regression.ipynb ├── Bayesian_Linear_Regression.ipynb ├── Bayesian_Linear_Regression_MCMC.ipynb ├── Distributions.ipynb ├── Gaussian_Process.ipynb ├── HW2.ipynb ├── HW3.ipynb ├── KNN 1.ipynb ├── KNN1.ipynb ├── Linear Regression 1.ipynb ├── Linear Regression 2.ipynb ├── Linear Regression Adaptive Basis Function Network Bayesian.ipynb ├── Linear Regression Adaptive Basis Function Network.ipynb ├── Logistic Regression 1.ipynb ├── Logistic Regression 2.ipynb ├── Logistic Regression Weight Decay.ipynb ├── Loss Functions.ipynb ├── MDS.ipynb ├── MNIST Classification.ipynb ├── NMF.ipynb ├── NMF_Newsgroup20.ipynb ├── PCA_MNIST.ipynb ├── PCA_Newsgroup20.ipynb ├── Perceptron1.ipynb ├── Perceptron2 - Linear Separability 2.ipynb ├── RBFN 1.ipynb ├── RBFN Early Stopping.ipynb ├── RBFN SVM.ipynb ├── RBFN1.ipynb ├── Rotation.ipynb ├── SVD-airports.ipynb ├── SVD_MNIST.ipynb ├── SVM 1.ipynb ├── SVM Weight Decay.ipynb ├── SVM vs LogReg.ipynb ├── Weight Analyzer.ipynb ├── Weight_Analyzer_Multiclass.ipynb ├── airports-extended.dat ├── airports.dat ├── kmeans-basic.ipynb ├── labs ├── 01 - Perceptron - Linear Separability.ipynb ├── 02 - Logistic Regression.ipynb ├── 03 - SVM vs LogReg.ipynb ├── 04 - Overfitting, Regularization, and Model Selection.ipynb ├── 05 - Multiclass Classification.ipynb ├── 06 - Cross Validation.ipynb ├── 07 - KNN.ipynb ├── 08 - RBFN.ipynb ├── 09 - ARBFN1.ipynb ├── 10 - ARBFN2.ipynb ├── 11 - Distributions Recap.ipynb ├── 12 - Linear Regression.ipynb ├── 13 - PCA_Face.ipynb ├── 13 - PCA_News.ipynb ├── 14 - NMF_Face.ipynb ├── 14 - NMF_News.ipynb ├── 15 - KMeans.ipynb ├── 16 - MDS.ipynb ├── AmesHousingFiltered.xls ├── DataDocumentation.txt ├── airports-extended.dat └── routes.dat └── routes.dat /Makefile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nyu-dl/Intro_to_ML_Lecture_Note/HEAD/Makefile -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nyu-dl/Intro_to_ML_Lecture_Note/HEAD/README.md -------------------------------------------------------------------------------- /exercises/Autograd_Introduction.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nyu-dl/Intro_to_ML_Lecture_Note/HEAD/exercises/Autograd_Introduction.ipynb -------------------------------------------------------------------------------- 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