589689.xyz

清华大学：机器学习（余凯、张潼）

  • 收录时间:2019-06-25 00:02:26
  • 文件大小:4GB
  • 下载次数:9
  • 最近下载:2020-08-18 10:12:13
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 10-optimization in machinelearning (tong).mp4 282MB
  2. 04-linear classification (kai).mp4 256MB
  3. 07-model combination (tong).mp4 252MB
  4. 13-introduction to graphicalmodels (kai).mp4 249MB
  5. 16-transfer learning and semisupervised lear....mp4 249MB
  6. 19-learning on the web (tong).mp4 248MB
  7. 03-overfitting and regularization(tong).mp4 243MB
  8. 01-Introduction.mp4 239MB
  9. 12-sparsity models (tong).mp4 238MB
  10. 05-basis expansion and kernelmethods (kai).mp4 232MB
  11. 09-overview of learning theory(tong).mp4 228MB
  12. 02-linear model (tong).mp4 222MB
  13. 15-feature learning and deeplearning (kai).mp4 221MB
  14. 18-learning on images (kai).mp4 220MB
  15. 14-structured learning (kai).mp4 213MB
  16. 08-boosting and bagging (tong).mp4 210MB
  17. 11-online learning (tong).mp4 208MB
  18. 17-matrix factorization andrecommendations (....mp4 201MB
  19. 06-model selection and evaluation(kai).mp4 136MB
  20. 课件/lecture 18 learning on images (kai).pdf 42MB
  21. 课件/lecture 01 Introduction to ML and review of linear algebra probability statistics (kai).pdf 16MB
  22. 课件/lecture 15 feature learning and deep learning (kai).pdf 11MB
  23. 课件/lecture 16 transfer learning and semi supervised learning (kai).pdf 6MB
  24. 课件/lecture 17 matrix factorization and recommendations (kai).pdf 4MB
  25. 课件/lecture 13 introduction to graphical models (kai).pdf 2MB
  26. 课件/lecture 12 sparsity models (tong).pdf 2MB
  27. 课件/lecture 05 basis expansion and kernel methods (kai)nonlinear_svm.pdf 2MB
  28. 课件/lecture 04 linear classification (kai).pdf 1MB
  29. 课件/lecture 14 structured learning (kai).pdf 791KB
  30. 课件/lecture 06 model selection and evaluation (kai).pdf 681KB
  31. 课件/lecture 02 linear model (tong).pdf 457KB
  32. 课件/lecture 19 learning on the web (tong).pdf 181KB
  33. 课件/lecture 09 overview of learning theory (tong).pdf 165KB
  34. 课件/lecture 08 boosting and bagging (tong).pdf 152KB
  35. 课件/lecture 07 model combination (tong).pdf 148KB
  36. 课件/lecture 10 optimization in machine learning (tong).pdf 140KB
  37. 课件/lecture 11 online learning (tong).pdf 134KB
  38. 课件/lecture 03 overfitting and regularization (tong).pdf 129KB