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machine_learning_cmu_2015

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  • 文件大小:104GB
  • 下载次数:202
  • 最近下载:2021-01-03 22:29:49
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文件列表

  1. Optimization and Support Vector Machines (9) - Machine Learning 10-715 Fall 2015-rulAFgBotB4.mkv 13GB
  2. Conditional Random Fields and Exponential Families (17) - Machine Learning 10-715 Fall 2015-Yq_CLto7IWY.mp4 12GB
  3. Deep Learning (3) Machine Learning 10-715 Fall 2015-rCHao5GwvK8.mp4 12GB
  4. Directed Graphical Models (14) - Machine Learning 10-715 Fall 2015-fX1SBPZXOpo.mkv 12GB
  5. Hidden Markov Models (16) - Machine Learning 10-715 Fall 2015-pIcfZ--FoPA.mkv 11GB
  6. Message Passing and Inference (15) - Machine Learning 10-715 Fall 2015-z7gchqXubVY.mkv 11GB
  7. Perceptron (2) - Machine Learning 10-715 Fall 2015-ekZ9MoOOiR4.mkv 8GB
  8. Supervised Learning (1b) - Machine Learning 10-715 Fall 2015-waDiUMaIOfg.webm 5GB
  9. Principal Component Analysis (7b) - Machine Learning 10-715 Fall 2015-TO6Zw1Q2-Qk.mp4 4GB
  10. Unconstrained Optimization (8) - Machine Learning 10-715 Fall 2015-dQFN1nveIFw.mp4 3GB
  11. Clustering (5) - Machine Learning 10-715 Fall 2015-mXXk77sSWAs.mkv 1GB
  12. Deep Learning (4) - Machine Learning 10-715 Fall 2015-cL0Dm_YUkP4.mkv 1GB
  13. EM, PCA(7) - Machine Learning 10-715 Fall 2015-RI6PYd3Rp9A.mp4 1GB
  14. ICA, Manifold Learning(13) - Machine Learning 10-715 Fall 2015-BYpVfW-L4SA.mkv 1GB
  15. Learning Theory (18) - Machine Learning 10-715 Fall 2015-hTcnovu_NIQ.mp4 1GB
  16. Big data and scalability (21) - Machine Learning 10-715 Fall 2015-ax_Oao-IPDk.mp4 1GB
  17. VC dimension, Manifold Learning (20) - Machine Learning 10-715 Fall 2015-70u7Bfk-5rg.mkv 1GB
  18. Latent Space Model, ICA(12) - Machine Learning 10-715 Fall 2015-rLUuU91L_AQ.mkv 1GB
  19. Gaussian Process(11) - Machine Learning 10-715 Fall 2015-nbAaSBuM2Ss.mp4 1GB
  20. Final Presentation 1 (22) -- Machine Learning 10-715 Fall 2015-chMKz97JFW8.mkv 1003MB
  21. Clustering (6) - Machine Learning 10-715 Fall 2015-0yYh4HKNymo.mp4 1002MB
  22. Bayes Classifier (19) - Machine Learning 10-715 Fall 2015-jVjecjAuF-Y.mp4 205MB
  23. LearningWithKernels.pdf 42MB
  24. DeepNetworks.pdf 37MB
  25. GraphicalModels.pdf 15MB
  26. ManifoldLearning.pdf 3MB
  27. GP.pdf 2MB
  28. RiskMin.pdf 2MB
  29. VCdimension.pdf 2MB
  30. ICA.pdf 2MB
  31. MLE_MAP_BayesClassifier.pdf 2MB
  32. EM.pdf 2MB
  33. PCA.pdf 2MB
  34. Lecture1_Introduction.pdf 2MB