CS-7641-Machine-Learning-Notes:在该存储库中，我将发布有关GaTech机器学习课程CS7641的注...
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2021-05-27
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CS-7641-Machine-Learning-Notes-master.zip （41个子文件） 
CS-7641-Machine-Learning-Notes-master 
SL09. Bayesian Learning.pdf 206KB UL02. Clustering.pdf 167KB UL01. Randomized Optimization.pdf 234KB SL02. Regression & Classification.pdf 176KB UL04. Feature Transformation.pdf 150KB RL02. Reinforcement Learning.pdf 176KB Udacity Notes Bayesian Inference.pdf 387KB Kernel Methods and SVMs Extension.pdf 345KB Bayesian Learning Extension.pdf 485KB Gradient Descent.pdf 231KB PAC Learning.pdf 331KB Linear Regression.pdf 194KB ID3 Algorithm for Decision Trees.pdf 939KB Introduction to Boosting.pdf 492KB Neural Networks.pdf 2.28MB Instance Based Learning Extension.pdf 164KB SL03. Neural Networks.pdf 439KB SL08. VC Dimensions.pdf 131KB Tom Mitchell Slides ch8.pdf 122KB ch7.pdf 151KB ch9.pdf 163KB ch10.pdf 151KB ch4.pdf 404KB ch1.pdf 373KB ch3.pdf 181KB ch5.pdf 152KB ch13.pdf 121KB ch11.pdf 40KB ch2.pdf 160KB ch12.pdf 145KB ch6.pdf 249KB SL05. Ensemble Learning - Boosting.pdf 276KB RL01. Markov Decision Processes.pdf 160KB RL03-04. Game Theory.pdf 415KB SL06. Kernel Methods & SVMs.pdf 364KB UL03. Feature Selection.pdf 150KB SL01. Decision Trees.pdf 188KB
README.md 374B SL07. Computational Learning Theory.pdf 177KB SL10. Bayesian Inference.pdf 165KB SL04. Instance Based Learning.pdf 195KB资源评论
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