清华大学：机器学习（余凯、张潼）
资源详情
- 文件数量
- 38
- 文件大小
- 4.33 GiB
- 收录时间
- 2026-10-17 10:54:18
- 最近发现
- 2026-10-17 10:54:18
- 资源类型
- 影视
- 扩展名
- mp4,pdf
- 种子哈希
- 565DC79B6D6783EEAD44B6330DED0863C164A241
磁力链接
文件列表 共 38 个文件
文件路径大小
▧ 10-optimization in machinelearning (tong).mp4281.58 MiB
▧ 04-linear classification (kai).mp4255.50 MiB
▧ 07-model combination (tong).mp4252.20 MiB
▧ 13-introduction to graphicalmodels (kai).mp4249.06 MiB
▧ 16-transfer learning and semisupervised lear....mp4248.63 MiB
▧ 19-learning on the web (tong).mp4247.59 MiB
▧ 03-overfitting and regularization(tong).mp4243.43 MiB
▧ 01-Introduction.mp4239.28 MiB
▧ 12-sparsity models (tong).mp4237.86 MiB
▧ 05-basis expansion and kernelmethods (kai).mp4232.25 MiB
▧ 09-overview of learning theory(tong).mp4227.57 MiB
▧ 02-linear model (tong).mp4222.03 MiB
▧ 15-feature learning and deeplearning (kai).mp4221.45 MiB
▧ 18-learning on images (kai).mp4220.02 MiB
▧ 14-structured learning (kai).mp4213.10 MiB
▧ 08-boosting and bagging (tong).mp4209.73 MiB
▧ 11-online learning (tong).mp4207.82 MiB
▧ 17-matrix factorization andrecommendations (....mp4201.45 MiB
▧ 06-model selection and evaluation(kai).mp4135.64 MiB
▧ 课件/lecture 18 learning on images (kai).pdf41.90 MiB
▧ 课件/lecture 01 Introduction to ML and review of linear algebra probability statistics (kai).pdf15.51 MiB
▧ 课件/lecture 15 feature learning and deep learning (kai).pdf11.18 MiB
▧ 课件/lecture 16 transfer learning and semi supervised learning (kai).pdf6.21 MiB
▧ 课件/lecture 17 matrix factorization and recommendations (kai).pdf3.64 MiB
▧ 课件/lecture 13 introduction to graphical models (kai).pdf2.17 MiB
▧ 课件/lecture 12 sparsity models (tong).pdf1.90 MiB
▧ 课件/lecture 05 basis expansion and kernel methods (kai)nonlinear_svm.pdf1.82 MiB
▧ 课件/lecture 04 linear classification (kai).pdf1.04 MiB
▧ 课件/lecture 14 structured learning (kai).pdf790.95 KiB
▧ 课件/lecture 06 model selection and evaluation (kai).pdf680.51 KiB
▧ 课件/lecture 02 linear model (tong).pdf457.35 KiB
▧ 课件/lecture 19 learning on the web (tong).pdf181.14 KiB
▧ 课件/lecture 09 overview of learning theory (tong).pdf164.63 KiB
▧ 课件/lecture 08 boosting and bagging (tong).pdf152.26 KiB
▧ 课件/lecture 07 model combination (tong).pdf147.69 KiB
▧ 课件/lecture 10 optimization in machine learning (tong).pdf139.65 KiB
▧ 课件/lecture 11 online learning (tong).pdf134.30 KiB
▧ 课件/lecture 03 overfitting and regularization (tong).pdf129.08 KiB
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