├── README.md ├── RL01. Markov Decision Processes.pdf ├── RL02. Reinforcement Learning.pdf ├── RL03-04. Game Theory.pdf ├── SL01. Decision Trees.pdf ├── SL02. Regression & Classification.pdf ├── SL03. Neural Networks.pdf ├── SL04. Instance Based Learning.pdf ├── SL05. Ensemble Learning - Boosting.pdf ├── SL06. Kernel Methods & SVMs.pdf ├── SL07. Computational Learning Theory.pdf ├── SL08. VC Dimensions.pdf ├── SL09. Bayesian Learning.pdf ├── SL10. Bayesian Inference.pdf ├── Tom Mitchell Slides ├── ch1.pdf ├── ch10.pdf ├── ch11.pdf ├── ch12.pdf ├── ch13.pdf ├── ch2.pdf ├── ch3.pdf ├── ch4.pdf ├── ch5.pdf ├── ch6.pdf ├── ch7.pdf ├── ch8.pdf └── ch9.pdf ├── UL01. Randomized Optimization.pdf ├── UL02. Clustering.pdf ├── UL03. Feature Selection.pdf ├── UL04. Feature Transformation.pdf └── Udacity Notes ├── Bayesian Inference.pdf ├── Bayesian Learning Extension.pdf ├── Gradient Descent.pdf ├── ID3 Algorithm for Decision Trees.pdf ├── Instance Based Learning Extension.pdf ├── Introduction to Boosting.pdf ├── Kernel Methods and SVMs Extension.pdf ├── Linear Regression.pdf ├── Neural Networks.pdf └── PAC Learning.pdf /README.md: -------------------------------------------------------------------------------- 1 | # Machine Learning Notes 2 | In this repository, I will publish my notes for GaTech's Machine Learning course [CS7641](https://www.omscs.gatech.edu/cs-7641-machine-learning). You can also find my notes for Reinforcement Learning [CS7642](http://www.omscs.gatech.edu/cs-7642-reinforcement-learning) [here](https://github.com/mohamedameen93/CS-7642-Reinforcement-Learning-Notes). 3 | -------------------------------------------------------------------------------- /RL01. Markov Decision Processes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/RL01. Markov Decision Processes.pdf -------------------------------------------------------------------------------- /RL02. Reinforcement Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/RL02. Reinforcement Learning.pdf -------------------------------------------------------------------------------- /RL03-04. Game Theory.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/RL03-04. Game Theory.pdf -------------------------------------------------------------------------------- /SL01. Decision Trees.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL01. Decision Trees.pdf -------------------------------------------------------------------------------- /SL02. Regression & Classification.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL02. Regression & Classification.pdf -------------------------------------------------------------------------------- /SL03. Neural Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL03. Neural Networks.pdf -------------------------------------------------------------------------------- /SL04. Instance Based Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL04. Instance Based Learning.pdf -------------------------------------------------------------------------------- /SL05. Ensemble Learning - Boosting.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL05. Ensemble Learning - Boosting.pdf -------------------------------------------------------------------------------- /SL06. Kernel Methods & SVMs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL06. Kernel Methods & SVMs.pdf -------------------------------------------------------------------------------- /SL07. Computational Learning Theory.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL07. Computational Learning Theory.pdf -------------------------------------------------------------------------------- /SL08. VC Dimensions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL08. VC Dimensions.pdf -------------------------------------------------------------------------------- /SL09. Bayesian Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL09. Bayesian Learning.pdf -------------------------------------------------------------------------------- /SL10. Bayesian Inference.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/SL10. Bayesian Inference.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch1.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch10.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch10.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch11.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch11.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch12.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch12.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch13.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch13.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch2.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch2.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch3.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch3.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch4.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch4.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch5.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch5.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch6.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch6.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch7.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch7.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch8.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch8.pdf -------------------------------------------------------------------------------- /Tom Mitchell Slides/ch9.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Tom Mitchell Slides/ch9.pdf -------------------------------------------------------------------------------- /UL01. Randomized Optimization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/UL01. Randomized Optimization.pdf -------------------------------------------------------------------------------- /UL02. Clustering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/UL02. Clustering.pdf -------------------------------------------------------------------------------- /UL03. Feature Selection.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/UL03. Feature Selection.pdf -------------------------------------------------------------------------------- /UL04. Feature Transformation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/UL04. Feature Transformation.pdf -------------------------------------------------------------------------------- /Udacity Notes/Bayesian Inference.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Bayesian Inference.pdf -------------------------------------------------------------------------------- /Udacity Notes/Bayesian Learning Extension.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Bayesian Learning Extension.pdf -------------------------------------------------------------------------------- /Udacity Notes/Gradient Descent.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Gradient Descent.pdf -------------------------------------------------------------------------------- /Udacity Notes/ID3 Algorithm for Decision Trees.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/ID3 Algorithm for Decision Trees.pdf -------------------------------------------------------------------------------- /Udacity Notes/Instance Based Learning Extension.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Instance Based Learning Extension.pdf -------------------------------------------------------------------------------- /Udacity Notes/Introduction to Boosting.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Introduction to Boosting.pdf -------------------------------------------------------------------------------- /Udacity Notes/Kernel Methods and SVMs Extension.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Kernel Methods and SVMs Extension.pdf -------------------------------------------------------------------------------- /Udacity Notes/Linear Regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Linear Regression.pdf -------------------------------------------------------------------------------- /Udacity Notes/Neural Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/Neural Networks.pdf -------------------------------------------------------------------------------- /Udacity Notes/PAC Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mohamedameen93/CS-7641-Machine-Learning-Notes/84c2936dcf2f8cbf48c2b4a81ca36889dfeda43f/Udacity Notes/PAC Learning.pdf --------------------------------------------------------------------------------