├── LICENSE ├── MIT_6_036_HW01_Linear_Classfier.ipynb ├── MIT_6_036_HW02_Perceptrons.ipynb ├── MIT_6_036_HW03_Feature_Representation.ipynb ├── MIT_6_036_HW04_Logistic_Regression.ipynb ├── MIT_6_036_HW05_Regression.ipynb ├── MIT_6_036_HW06_Neural_Network_I.ipynb ├── MIT_6_036_HW07_Back_Propagation.ipynb ├── MIT_6_036_HW07_PyTorch_2020.ipynb ├── MIT_6_036_HW08_CNN.ipynb ├── MIT_6_036_HW09_State_Machine_and_Markov_Decision_Process.ipynb ├── MIT_6_036_HW10_Reinforcement_Learning.ipynb ├── MIT_6_036_HW11_Recurrent_Neural_Networks.ipynb ├── MIT_6_036_HW12_Decision_Tree_Classifiers_and_Nearest_Neighbour.ipynb ├── MIT_6_036_Lab10_Q_Learning.ipynb ├── MIT_6_036_Lab11_RNN.ipynb ├── MIT_6_036_Lab13_Clustering.ipynb ├── Notes ├── 1-notes_chapter_Introduction.pdf ├── 10-notes_chapter_Sequential_models.pdf ├── 11-notes_chapter_Reinforcement_learning.pdf ├── 12-notes_chapter_Recurrent_Neural_Networks.pdf ├── 13-notes_chapter_Non-parametric_methods.pdf ├── 14-notes_chapter_Clustering.pdf ├── 2-notes_chapter_Linear_classifiers.pdf ├── 3-notes_chapter_The_Perceptron.pdf ├── 4-notes_chapter_Feature_representation.pdf ├── 5-notes_chapter_Logistic_regression.pdf ├── 5-notes_chapter_Margin_Maximization.pdf ├── 6-notes_chapter_Gradient_Descent.pdf ├── 7-notes_chapter_Regression.pdf ├── 8-notes_chapter_Neural_Networks.pdf ├── 9-notes_chapter_Convolutional_Neural_Networks.pdf └── PlanesAndHyperplanes.pdf └── README.md /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/LICENSE -------------------------------------------------------------------------------- /MIT_6_036_HW01_Linear_Classfier.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW01_Linear_Classfier.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW02_Perceptrons.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW02_Perceptrons.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW03_Feature_Representation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW03_Feature_Representation.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW04_Logistic_Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW04_Logistic_Regression.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW05_Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW05_Regression.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW06_Neural_Network_I.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW06_Neural_Network_I.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW07_Back_Propagation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW07_Back_Propagation.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW07_PyTorch_2020.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW07_PyTorch_2020.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW08_CNN.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW08_CNN.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW09_State_Machine_and_Markov_Decision_Process.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW09_State_Machine_and_Markov_Decision_Process.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW10_Reinforcement_Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW10_Reinforcement_Learning.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW11_Recurrent_Neural_Networks.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW11_Recurrent_Neural_Networks.ipynb -------------------------------------------------------------------------------- /MIT_6_036_HW12_Decision_Tree_Classifiers_and_Nearest_Neighbour.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_HW12_Decision_Tree_Classifiers_and_Nearest_Neighbour.ipynb -------------------------------------------------------------------------------- /MIT_6_036_Lab10_Q_Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_Lab10_Q_Learning.ipynb -------------------------------------------------------------------------------- /MIT_6_036_Lab11_RNN.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_Lab11_RNN.ipynb -------------------------------------------------------------------------------- /MIT_6_036_Lab13_Clustering.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/MIT_6_036_Lab13_Clustering.ipynb -------------------------------------------------------------------------------- /Notes/1-notes_chapter_Introduction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/1-notes_chapter_Introduction.pdf -------------------------------------------------------------------------------- /Notes/10-notes_chapter_Sequential_models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/10-notes_chapter_Sequential_models.pdf -------------------------------------------------------------------------------- /Notes/11-notes_chapter_Reinforcement_learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/11-notes_chapter_Reinforcement_learning.pdf -------------------------------------------------------------------------------- /Notes/12-notes_chapter_Recurrent_Neural_Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/12-notes_chapter_Recurrent_Neural_Networks.pdf -------------------------------------------------------------------------------- /Notes/13-notes_chapter_Non-parametric_methods.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/13-notes_chapter_Non-parametric_methods.pdf -------------------------------------------------------------------------------- /Notes/14-notes_chapter_Clustering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/14-notes_chapter_Clustering.pdf -------------------------------------------------------------------------------- /Notes/2-notes_chapter_Linear_classifiers.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/2-notes_chapter_Linear_classifiers.pdf -------------------------------------------------------------------------------- /Notes/3-notes_chapter_The_Perceptron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/3-notes_chapter_The_Perceptron.pdf -------------------------------------------------------------------------------- /Notes/4-notes_chapter_Feature_representation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/4-notes_chapter_Feature_representation.pdf -------------------------------------------------------------------------------- /Notes/5-notes_chapter_Logistic_regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/5-notes_chapter_Logistic_regression.pdf -------------------------------------------------------------------------------- /Notes/5-notes_chapter_Margin_Maximization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/5-notes_chapter_Margin_Maximization.pdf -------------------------------------------------------------------------------- /Notes/6-notes_chapter_Gradient_Descent.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/6-notes_chapter_Gradient_Descent.pdf -------------------------------------------------------------------------------- /Notes/7-notes_chapter_Regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/7-notes_chapter_Regression.pdf -------------------------------------------------------------------------------- /Notes/8-notes_chapter_Neural_Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/8-notes_chapter_Neural_Networks.pdf -------------------------------------------------------------------------------- /Notes/9-notes_chapter_Convolutional_Neural_Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/9-notes_chapter_Convolutional_Neural_Networks.pdf -------------------------------------------------------------------------------- /Notes/PlanesAndHyperplanes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/Notes/PlanesAndHyperplanes.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TangJiahui/6.036_Machine_Learning/HEAD/README.md --------------------------------------------------------------------------------