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Download 清华大学:机器学习(余凯、张潼)

清华大学 机器学习 余凯 张潼

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清华大学:机器学习(余凯、张潼)

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Total Size

4.6 GB

Total Files

38

Hash

565DC79B6D6783EEAD44B6330DED0863C164A241

/

10-optimization in machinelearning (tong).mp4

295.3 MB

04-linear classification (kai).mp4

267.9 MB

07-model combination (tong).mp4

264.4 MB

13-introduction to graphicalmodels (kai).mp4

261.2 MB

16-transfer learning and semisupervised lear....mp4

260.7 MB

19-learning on the web (tong).mp4

259.6 MB

03-overfitting and regularization(tong).mp4

255.3 MB

01-Introduction.mp4

250.9 MB

12-sparsity models (tong).mp4

249.4 MB

05-basis expansion and kernelmethods (kai).mp4

243.5 MB

09-overview of learning theory(tong).mp4

238.6 MB

02-linear model (tong).mp4

232.8 MB

15-feature learning and deeplearning (kai).mp4

232.2 MB

18-learning on images (kai).mp4

230.7 MB

14-structured learning (kai).mp4

223.4 MB

08-boosting and bagging (tong).mp4

219.9 MB

11-online learning (tong).mp4

217.9 MB

17-matrix factorization andrecommendations (....mp4

211.2 MB

06-model selection and evaluation(kai).mp4

142.2 MB

/课件/

lecture 18 learning on images (kai).pdf

43.9 MB

lecture 01 Introduction to ML and review of linear algebra probability statistics (kai).pdf

16.3 MB

lecture 15 feature learning and deep learning (kai).pdf

11.7 MB

lecture 16 transfer learning and semi supervised learning (kai).pdf

6.5 MB

lecture 17 matrix factorization and recommendations (kai).pdf

3.8 MB

lecture 13 introduction to graphical models (kai).pdf

2.3 MB

lecture 12 sparsity models (tong).pdf

2.0 MB

lecture 05 basis expansion and kernel methods (kai)nonlinear_svm.pdf

1.9 MB

lecture 04 linear classification (kai).pdf

1.1 MB

lecture 14 structured learning (kai).pdf

809.9 KB

lecture 06 model selection and evaluation (kai).pdf

696.8 KB

lecture 02 linear model (tong).pdf

468.3 KB

lecture 19 learning on the web (tong).pdf

185.5 KB

lecture 09 overview of learning theory (tong).pdf

168.6 KB

lecture 08 boosting and bagging (tong).pdf

155.9 KB

lecture 07 model combination (tong).pdf

151.2 KB

lecture 10 optimization in machine learning (tong).pdf

143.0 KB

lecture 11 online learning (tong).pdf

137.5 KB

lecture 03 overfitting and regularization (tong).pdf

132.2 KB

 

Total files 38


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