├── .gitignore ├── README.md ├── handouts ├── README.md ├── foundations │ ├── 01_handout.pdf │ ├── 02_handout.pdf │ ├── 03_handout.pdf │ ├── 04_handout.pdf │ ├── 05_handout.pdf │ ├── 06_handout.pdf │ ├── 07_handout.pdf │ ├── 08_handout.pdf │ ├── 09_handout.pdf │ ├── 10_handout.pdf │ ├── 11_handout.pdf │ ├── 12_handout.pdf │ ├── 13_handout.pdf │ ├── 14_handout.pdf │ ├── 15_handout.pdf │ └── 16_handout.pdf └── techniques │ ├── 01_handout.pdf │ ├── 02_handout.pdf │ ├── 03_handout.pdf │ ├── 04_handout.pdf │ ├── 05_handout.pdf │ ├── 06_handout.pdf │ ├── 07_handout.pdf │ ├── 08_handout.pdf │ ├── 09_handout.pdf │ ├── 10_handout.pdf │ ├── 11_handout.pdf │ ├── 12_handout.pdf │ ├── 13_handout.pdf │ ├── 14_handout.pdf │ ├── 15_handout.pdf │ └── 16_handout.pdf ├── homework └── Homework #0.pdf └── notes ├── README.md ├── foundations ├── Lecture 01 - The Learning Problem.md ├── Lecture 02 - Learning to Answer Yes or No.md ├── Lecture 03 - Types of Learning.md ├── Lecture 04 - Feasibility of Learning.md ├── Lecture 05 - Training versus Testing.md ├── Lecture 06 - Theory of Generalization.md ├── Lecture 07 - The VC Dimension.md ├── Lecture 08 - Noise and Error.md ├── Lecture 09 - Linear Regression.md ├── Lecture 10 - Logistic Regression.md ├── Lecture 11 - Linear Models for Classification.md ├── Lecture 12 - Nonlinear Transformation.md ├── Lecture 13 - Hazard of Overfitting.md ├── Lecture 14 - Regularization.md ├── Lecture 15 - Validation.md └── Lecture 16 - Three Learning Principles.md └── techniques ├── Lecture 01 - Linear Support Vector Machine.md ├── Lecture 02 - Dual Support Vector Machine.md ├── Lecture 03 - Kernel Support Vector Machine.md ├── Lecture 04 - Soft-Margin Support Vector Machine.md ├── Lecture 05 - Kernel Logistic Regression.md ├── Lecture 06 - Support Vector Regression.md ├── Lecture 07 - Blending and Bagging.md ├── Lecture 08 - Adaptive Boosting.md ├── Lecture 09 - Decision Tree.md ├── Lecture 10 - Random Forest.md ├── Lecture 11 - Gradient Boosted Decision Tree.md ├── Lecture 12 - Neural Network.md ├── Lecture 13 - Deep Learning.md ├── Lecture 14 - Radial Basis Function Network.md ├── Lecture 15 - Matrix Factorization.md └── Lecture 16 - Finale.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/README.md -------------------------------------------------------------------------------- /handouts/README.md: -------------------------------------------------------------------------------- 1 | # handouts 2 | 3 | - foundations 4 | - techniques -------------------------------------------------------------------------------- /handouts/foundations/01_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/01_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/02_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/02_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/03_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/03_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/04_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/04_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/05_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/05_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/06_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/06_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/07_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/07_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/08_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/08_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/09_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/09_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/10_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/10_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/11_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/11_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/12_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/12_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/13_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/13_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/14_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/14_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/15_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/15_handout.pdf -------------------------------------------------------------------------------- /handouts/foundations/16_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/foundations/16_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/01_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/01_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/02_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/02_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/03_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/03_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/04_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/04_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/05_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/05_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/06_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/06_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/07_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/07_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/08_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/08_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/09_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/09_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/10_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/10_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/11_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/11_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/12_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/12_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/13_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/13_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/14_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/14_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/15_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/15_handout.pdf -------------------------------------------------------------------------------- /handouts/techniques/16_handout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/handouts/techniques/16_handout.pdf -------------------------------------------------------------------------------- /homework/Homework #0.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/homework/Homework #0.pdf -------------------------------------------------------------------------------- /notes/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/README.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 01 - The Learning Problem.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 01 - The Learning Problem.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 02 - Learning to Answer Yes or No.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 02 - Learning to Answer Yes or No.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 03 - Types of Learning.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 03 - Types of Learning.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 04 - Feasibility of Learning.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 04 - Feasibility of Learning.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 05 - Training versus Testing.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 05 - Training versus Testing.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 06 - Theory of Generalization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 06 - Theory of Generalization.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 07 - The VC Dimension.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 07 - The VC Dimension.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 08 - Noise and Error.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 08 - Noise and Error.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 09 - Linear Regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 09 - Linear Regression.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 10 - Logistic Regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 10 - Logistic Regression.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 11 - Linear Models for Classification.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 11 - Linear Models for Classification.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 12 - Nonlinear Transformation.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 12 - Nonlinear Transformation.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 13 - Hazard of Overfitting.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 13 - Hazard of Overfitting.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 14 - Regularization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 14 - Regularization.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 15 - Validation.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 15 - Validation.md -------------------------------------------------------------------------------- /notes/foundations/Lecture 16 - Three Learning Principles.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/foundations/Lecture 16 - Three Learning Principles.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 01 - Linear Support Vector Machine.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 01 - Linear Support Vector Machine.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 02 - Dual Support Vector Machine.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 02 - Dual Support Vector Machine.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 03 - Kernel Support Vector Machine.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 03 - Kernel Support Vector Machine.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 04 - Soft-Margin Support Vector Machine.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 04 - Soft-Margin Support Vector Machine.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 05 - Kernel Logistic Regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 05 - Kernel Logistic Regression.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 06 - Support Vector Regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 06 - Support Vector Regression.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 07 - Blending and Bagging.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 07 - Blending and Bagging.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 08 - Adaptive Boosting.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 08 - Adaptive Boosting.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 09 - Decision Tree.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 09 - Decision Tree.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 10 - Random Forest.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 10 - Random Forest.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 11 - Gradient Boosted Decision Tree.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 11 - Gradient Boosted Decision Tree.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 12 - Neural Network.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 12 - Neural Network.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 13 - Deep Learning.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 13 - Deep Learning.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 14 - Radial Basis Function Network.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 14 - Radial Basis Function Network.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 15 - Matrix Factorization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 15 - Matrix Factorization.md -------------------------------------------------------------------------------- /notes/techniques/Lecture 16 - Finale.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WangYang-wy/Machine-Learning-Foundations-and-Techniques/HEAD/notes/techniques/Lecture 16 - Finale.md --------------------------------------------------------------------------------