academictorrents_8165e591be4b54c2bc93b1e54c4374d42dcdd9f8
- 收录时间:2020-01-17 17:34:23
- 文件大小:116GB
- 下载次数:5
- 最近下载:2020-05-30 00:41:52
- 磁力链接:
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文件列表
- Optimization and Support Vector Machines (9) - Machine Learning 10-715 Fall 2015-rulAFgBotB4.mkv 13GB
- Conditional Random Fields and Exponential Families (17) - Machine Learning 10-715 Fall 2015-Yq_CLto7IWY.mp4 12GB
- Deep Learning (3) Machine Learning 10-715 Fall 2015-rCHao5GwvK8.mp4 12GB
- Directed Graphical Models (14) - Machine Learning 10-715 Fall 2015-fX1SBPZXOpo.mkv 12GB
- Hidden Markov Models (16) - Machine Learning 10-715 Fall 2015-pIcfZ--FoPA.mkv 11GB
- Message Passing and Inference (15) - Machine Learning 10-715 Fall 2015-z7gchqXubVY.mkv 11GB
- Perceptron (2) - Machine Learning 10-715 Fall 2015-ekZ9MoOOiR4.mkv 8GB
- Supervised Learning (1b) - Machine Learning 10-715 Fall 2015-waDiUMaIOfg.webm 5GB
- Principal Component Analysis (7b) - Machine Learning 10-715 Fall 2015-TO6Zw1Q2-Qk.mp4 4GB
- Unconstrained Optimization (8) - Machine Learning 10-715 Fall 2015-dQFN1nveIFw.mp4 3GB
- Clustering (5) - Machine Learning 10-715 Fall 2015-mXXk77sSWAs.mkv 1GB
- Deep Learning (4) - Machine Learning 10-715 Fall 2015-cL0Dm_YUkP4.mkv 1GB
- EM, PCA(7) - Machine Learning 10-715 Fall 2015-RI6PYd3Rp9A.mp4 1GB
- ICA, Manifold Learning(13) - Machine Learning 10-715 Fall 2015-BYpVfW-L4SA.mkv 1GB
- Learning Theory (18) - Machine Learning 10-715 Fall 2015-hTcnovu_NIQ.mp4 1GB
- Big data and scalability (21) - Machine Learning 10-715 Fall 2015-ax_Oao-IPDk.mp4 1GB
- VC dimension, Manifold Learning (20) - Machine Learning 10-715 Fall 2015-70u7Bfk-5rg.mkv 1GB
- Latent Space Model, ICA(12) - Machine Learning 10-715 Fall 2015-rLUuU91L_AQ.mkv 1GB
- Gaussian Process(11) - Machine Learning 10-715 Fall 2015-nbAaSBuM2Ss.mp4 1GB
- Final Presentation 1 (22) -- Machine Learning 10-715 Fall 2015-chMKz97JFW8.mkv 1003MB
- Clustering (6) - Machine Learning 10-715 Fall 2015-0yYh4HKNymo.mp4 1002MB
- Optimization and Support Vector Machines (9) - Machine Learning 10-715 Fall 2015-rulAFgBotB4.mp4 533MB
- Directed Graphical Models (14) - Machine Learning 10-715 Fall 2015-fX1SBPZXOpo.mp4 474MB
- ICA, Manifold Learning(13) - Machine Learning 10-715 Fall 2015-BYpVfW-L4SA.mp4 473MB
- Message Passing and Inference (15) - Machine Learning 10-715 Fall 2015-z7gchqXubVY.mp4 466MB
- Clustering (5) - Machine Learning 10-715 Fall 2015-mXXk77sSWAs.mp4 463MB
- VC dimension, Manifold Learning (20) - Machine Learning 10-715 Fall 2015-70u7Bfk-5rg.mp4 456MB
- Latent Space Model, ICA(12) - Machine Learning 10-715 Fall 2015-rLUuU91L_AQ.mp4 450MB
- Hidden Markov Models (16) - Machine Learning 10-715 Fall 2015-pIcfZ--FoPA.mp4 447MB
- Final Presentation 1 (22) -- Machine Learning 10-715 Fall 2015-chMKz97JFW8.mp4 418MB
- Deep Learning (4) - Machine Learning 10-715 Fall 2015-cL0Dm_YUkP4.mp4 407MB
- Optimization and Support Vector Machines (9) - Machine Learning 10-715 Fall 2015-rulAFgBotB4.ogv 389MB
- Conditional Random Fields and Exponential Families (17) - Machine Learning 10-715 Fall 2015-Yq_CLto7IWY.ogv 377MB
- Bayes Classifier (19) - Machine Learning 10-715 Fall 2015-jVjecjAuF-Y.ogv 348MB
- ICA, Manifold Learning(13) - Machine Learning 10-715 Fall 2015-BYpVfW-L4SA.ogv 347MB
- Directed Graphical Models (14) - Machine Learning 10-715 Fall 2015-fX1SBPZXOpo.ogv 346MB
- Big data and scalability (21) - Machine Learning 10-715 Fall 2015-ax_Oao-IPDk.ogv 341MB
- Message Passing and Inference (15) - Machine Learning 10-715 Fall 2015-z7gchqXubVY.ogv 340MB
- Clustering (5) - Machine Learning 10-715 Fall 2015-mXXk77sSWAs.ogv 339MB
- Deep Learning (3) Machine Learning 10-715 Fall 2015-rCHao5GwvK8.ogv 338MB
- Learning Theory (18) - Machine Learning 10-715 Fall 2015-hTcnovu_NIQ.ogv 337MB
- EM, PCA(7) - Machine Learning 10-715 Fall 2015-RI6PYd3Rp9A.ogv 336MB
- VC dimension, Manifold Learning (20) - Machine Learning 10-715 Fall 2015-70u7Bfk-5rg.ogv 334MB
- Latent Space Model, ICA(12) - Machine Learning 10-715 Fall 2015-rLUuU91L_AQ.ogv 328MB
- Hidden Markov Models (16) - Machine Learning 10-715 Fall 2015-pIcfZ--FoPA.ogv 326MB
- Gaussian Process(11) - Machine Learning 10-715 Fall 2015-nbAaSBuM2Ss.ogv 324MB
- Clustering (6) - Machine Learning 10-715 Fall 2015-0yYh4HKNymo.ogv 312MB
- Final Presentation 1 (22) -- Machine Learning 10-715 Fall 2015-chMKz97JFW8.ogv 307MB
- Deep Learning (4) - Machine Learning 10-715 Fall 2015-cL0Dm_YUkP4.ogv 298MB
- Perceptron (2) - Machine Learning 10-715 Fall 2015-ekZ9MoOOiR4.mp4 278MB
- Supervised Learning (1b) - Machine Learning 10-715 Fall 2015-waDiUMaIOfg.mp4 221MB
- Bayes Classifier (19) - Machine Learning 10-715 Fall 2015-jVjecjAuF-Y.mp4 205MB
- Perceptron (2) - Machine Learning 10-715 Fall 2015-ekZ9MoOOiR4.ogv 203MB
- Supervised Learning (1b) - Machine Learning 10-715 Fall 2015-waDiUMaIOfg.ogv 161MB
- Principal Component Analysis (7b) - Machine Learning 10-715 Fall 2015-TO6Zw1Q2-Qk.ogv 119MB
- LearningWithKernels_jp2.zip 106MB
- Unconstrained Optimization (8) - Machine Learning 10-715 Fall 2015-dQFN1nveIFw.ogv 97MB
- GraphicalModels_jp2.zip 88MB
- DeepNetworks_jp2.zip 87MB
- ManifoldLearning_jp2.zip 63MB
- LearningWithKernels.pdf 42MB
- DeepNetworks.pdf 37MB
- MLE_MAP_BayesClassifier_jp2.zip 37MB
- RiskMin_jp2.zip 32MB
- EM_jp2.zip 27MB
- VCdimension_jp2.zip 27MB
- GP_jp2.zip 26MB
- PCA_jp2.zip 23MB
- Lecture1_Introduction_jp2.zip 16MB
- GraphicalModels.pdf 15MB
- ICA_jp2.zip 9MB
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