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清华大学:机器学习(余凯、张潼)
magnet:?xt=urn:btih:565DC79B6D6783EEAD44B6330DED0863C164A241&dn=清华大学:机器学习(余凯、张潼)
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文件列表详情
565DC79B6D6783EEAD44B6330DED0863C164A241
infohash:
19
文件数量
4.33 GB
文件大小
2014-4-14 22:30
创建日期
2024-12-16 18:39
最后访问
相关分词
清华大学:机器学习
余凯、张潼
10-optimization in machinelearning (tong).mp4 281.58 MB
04-linear classification (kai).mp4 255.5 MB
07-model combination (tong).mp4 252.2 MB
13-introduction to graphicalmodels (kai).mp4 249.06 MB
16-transfer learning and semisupervised lear....mp4 248.63 MB
19-learning on the web (tong).mp4 247.59 MB
03-overfitting and regularization(tong).mp4 243.43 MB
01-Introduction.mp4 239.28 MB
12-sparsity models (tong).mp4 237.86 MB
05-basis expansion and kernelmethods (kai).mp4 232.25 MB
09-overview of learning theory(tong).mp4 227.57 MB
02-linear model (tong).mp4 222.03 MB
15-feature learning and deeplearning (kai).mp4 221.45 MB
18-learning on images (kai).mp4 220.02 MB
14-structured learning (kai).mp4 213.1 MB
08-boosting and bagging (tong).mp4 209.73 MB
11-online learning (tong).mp4 207.82 MB
17-matrix factorization andrecommendations (....mp4 201.45 MB
06-model selection and evaluation(kai).mp4 135.64 MB
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