Machine Learning Notes

In this repository, I will publish my notes for GaTech's Machine Learning course CS7641. You can also find my notes for Reinforcement Learning CS7642 here.

Name		Name	Last commit message	Last commit date
Tom Mitchell Slides		Tom Mitchell Slides
Udacity Notes		Udacity Notes
README.md		README.md
RL01. Markov Decision Processes.pdf		RL01. Markov Decision Processes.pdf
RL02. Reinforcement Learning.pdf		RL02. Reinforcement Learning.pdf
RL03-04. Game Theory.pdf		RL03-04. Game Theory.pdf
SL01. Decision Trees.pdf		SL01. Decision Trees.pdf
SL02. Regression & Classification.pdf		SL02. Regression & Classification.pdf
SL03. Neural Networks.pdf		SL03. Neural Networks.pdf
SL04. Instance Based Learning.pdf		SL04. Instance Based Learning.pdf
SL05. Ensemble Learning - Boosting.pdf		SL05. Ensemble Learning - Boosting.pdf
SL06. Kernel Methods & SVMs.pdf		SL06. Kernel Methods & SVMs.pdf
SL07. Computational Learning Theory.pdf		SL07. Computational Learning Theory.pdf
SL08. VC Dimensions.pdf		SL08. VC Dimensions.pdf
SL09. Bayesian Learning.pdf		SL09. Bayesian Learning.pdf
SL10. Bayesian Inference.pdf		SL10. Bayesian Inference.pdf
UL01. Randomized Optimization.pdf		UL01. Randomized Optimization.pdf
UL02. Clustering.pdf		UL02. Clustering.pdf
UL03. Feature Selection.pdf		UL03. Feature Selection.pdf
UL04. Feature Transformation.pdf		UL04. Feature Transformation.pdf

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