100个最受欢迎的机器学习课程视频

原文地址：http://blog.videolectures.net/100-most-popular-machine-learning-talks-at-videolectures-net/

Enjoy this weeks list!

1. 26971views,1:00:45,Gaussian Process Basics, David MacKay,8comments
2. 7799views,3:08:32,Introduction to Machine Learning, Iain Murray
3. 16092views,1:28:05,Introduction to Support Vector Machines, Colin Campbell,22comments
4. 5755views,2:53:54,Probability and Mathematical Needs, Sandrine Anthoine, 2comments
5. 7960views,3:06:47,A tutorial on Deep Learning, Geoffrey E. Hinto
6. 3858views,2:45:25,Introduction to Machine Learning, John Quinn,1comment
7. 13758views,5:40:10,Statistical Learning Theory,John Shawe-Taylor,3comments
8. 12226views,1:01:20,Semisupervised Learning Approaches, Tom Mitchell,8comments
9. 1596views,1:04:23,Why Bayesian nonparametrics?,Zoubin Ghahramani, 1comment
10. 11390views,3:52:22,Markov Chain Monte Carlo Methods,Christian P. Robert,5comments
11. 3153views,2:15:00,Data mining and Machine learning algorithms, José L. Balcázar,1comment
12. 10322views,5:15:43,Graphical models, Zoubin Ghahramani,23comments
13. 11071views,1:05:40,Dirichlet Processes, Chinese Restaurant Processes, and all that,Michael I. Jordan,7comments
    

    Daniel Wolpert – we are bayesian inference machines – 1 (Photo credit: pseudonomad)

14. 10550views,1:06:55,Generative Models for Visual Objects and Object Recognition via Bayesian Inference, Fei-Fei Li,11comments
15. 9312views,03:21,K-nearest neighbor classification, Antal van den Bosch,7comments
16. 4800views,2:07:31,Patterns in Vector Spaces, Elisa Ricci,1comment
17. 736views,16:55,Twitter Sentiment in Financial Domain, Miha Grčar,1comment
18. 6789views,2:06:40,Introduction to kernel methods, Bernhard Schölkopf,5comments
19. 6849views,2:54:37,Some Mathematical Tools for Machine Learning,Chris Burges,6comments
20. 6792views,1:24:46,Bayesian Learning, Zoubin Ghahramani,9comments
21. 6689views,4:33:48,Graphical Models and Variational Methods, Christopher Bishop,11comments
22. 844views,17:05,High-Dimensional Graphical Model Selection, Animashree Anandkumar
23. 5862views,57:16,Introduction to feature selection, Isabelle Guyon,1comment
24. 5541views,2:14:21,Introduction to kernel methods, Alexander J. Smola,8comments
25. 2304views,3:22:46,Introduction to Kernel Methods, Liva Ralaivola,1comment
26. 723views,16:26,Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries, Zhen James Xiang
27. 1628views,23:12,Gradient Boosted Decision Trees on Hadoop, Jerry Ye
28. 5169views,4:16:53,Learning with Kernels,4comments
29. 2038views,03:18,Scikitlearn, Gael Varoquaux
30. 4965views,32:36,The Dynamics of AdaBoost,Cynthia Rudin,3comments
31. 4433views,2:16:17,Sequential Monte Carlo methods, Arnaud Doucet,9comments
32. 4859views,1:37:46,Online Learning and Game Theory, Adam Kalai,3comments
33. 4237views,20:36,Learning to align: a statistical approach,Elisa Ricci,1comment
34. 2645views,21:49,Online Dictionary Learning for Sparse Coding, Julien Mairal, 1comment
    

    Cover of Statistical Learning Theory

35. 4727views,3:13:52,Bayesian Inference: Principles and Practice, Mike Tipping,6comments
36. 1419views,2:49:30,Online Learning, Peter L. Bartlett
37. 2973views,21:01,Training a Binary Classifier with the Quantum Adiabatic Algorithm, Hartmut Neven,1comment
38. 3973views,08:55,Machine Learning for Stock Selection, Charles X. Ling,3comments
39. 3900views,2:56:35,Machine learning and finance, László Györfi, 3comments
40. 3517views,2:10:19,Learning with Gaussian Processes, Carl Edward Rasmussen,7comments
41. 222views,29:03,Generating Possible Interpretations for Statistics from Linked Open Data,Heiko Paulheim
42. 4089views,2:32:26,Graph Matching Algorithms, Terry Caelli,6comments
43. 3948views,3:39:05,Clustering – An overview, Marina Meila,1comment
44. 3903views,2:11:59,An Introduction to Pattern Classification, Elad Yom Tov,1comment
45. 3896views,5:18:05,Statistical Learning Theory, Olivier Bousquet,3comments
46. 1541views,38:10,Learning with similarity functions, Maria Balcan
47. 51views,1:00:30,A Flexible Model for Count Data: The COM-Poisson Distribution, Galit Shmuél
48. 331views,41:53,Automatic Discovery of Patterns in News Content, Nello Cristianini,2comments
49. 1132views,2:31:35,Gaussian Processes, Edwin V. Bonilla
50. 2256views,1:08:39,Lecture 1 – The Motivation & Applications of Machine Learning, Andrew Ng
51. 666views,21:47,On the Usefulness of Similarity based Projection Spaces for Transfer Learning, Emilie Morvant
52. 1112views,36:35,Robust PCA and Collaborative Filtering: Rejecting Outliers, Identifying Manipulators, Constantine Caramanis
53. 3294views,2:01:49,The EM algorithm and Mixtures of Gaussians, Joaquin Quiñonero Candela,4comments
54. 3444views,5:35:17,Independent Component Analysis, Jean-François Cardoso,2comments
55. 1918views,19:47,Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations, Honglak Lee
56. 790views,1:00:20,Classification and Clustering in Large Complex Networks, Ina Eliasi-Rad
57. 986views,2:44:35,Restricted Boltzmann Machines and Deep Belief Nets, Marcus Frean
58. 23views,17:29,Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference, Vibhav Vineet
59. 1915views,1:22:16,Lecture 11 – Bayesian Statistics and Regularization, Andrew Ng
60. 3129views,4:31:39,Kernel Methods, Alexander J. Smola2comments
61. 2577views,1:21:29,Graphical models, Zoubin Ghahramani
62. 2160views,1:00:37,Should all Machine Learning be Bayesian? Should all Bayesian models be non-parametric?, Zoubin Ghahramani,2comments
    

    Zoubin Ghahramani – ‘Internet search queries’ (Photo credit: Engineering at Cambridge)

63. 3018views,4:35:51,Graphical Models, Variational Methods, and Message-Passing, Martin J. Wainwright,6comments
64. 3017views,3:43:43,Introduction to Kernel Methods, Bernhard Schölkopf,1comment
65. 1257views,1:24:39,Reinforcement learning: Tutorial + Rethinking State, Action & Reward, Satinder Singh
66. 1044views,18:34,On the stability and interpretability of prognosis signatures in breast cancer, Anne-Claire Haury,1comment
67. 2827views,00:58,Artificial intelligence: An instance of Aibo ingenuity, Michael Littman,2comments
68. 163views,22:35,Exploiting Information Extraction, Reasoning and Machine Learning for Relation Prediction, Xueyan Jiang,2comments
69. 1704views,2:42:22,Theory and Applications of Boosting, Robert Schapire,1comment
70. 387views,18:48,High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity, Po-Ling Loh
71. 1912views,38:30,Machine learning and kernel methods for computer vision, Francis R. Bach
72. 2755views,32:18,Neighbourhood Components Analysis, Sam Roweis,1comment
73. 2295views,28:18,Learning an Outlier-Robust Kalman Filter, Jo-Anne Ting,1comment
74. 1308views,25:08,Probabilistic Machine Learning in Computational Advertising, Thore Graepel
75. 2670views,4:22:31,Gaussian Processes, Carl Edward Rasmussen,2comments
76. 1772views,58:42,Probabilistic Decision-Making Under Model Uncertainty, Joelle Pineau
77. 2198views,58:51,Who is Afraid of Non-Convex Loss Functions?, Yann LeCun
78. 339views,54:15,Machine Learning Markets, Amos Storkey
79. 2560views,1:49:01,Generalized Principal Component Analysis (GPCA), Rene Vidal,8comments
80. 1247views,25:00,FPGA-based MapReduce Framework for Machine Learning, Ningyi Xu
81. 2527views,58:39,Latent Semantic Variable Models, Thomas Hofmann,3comments
82. 324views,18:31,k-NN Regression Adapts to Local Intrinsic Dimension, Samory Kpotufe
83. 1485views,1:20:37,Lecture 14 – The Factor Analysis Model, Andrew Ng
84. 2000views,1:11:49,Hierarchical Clustering, Yee Whye Teh
85. 316views,16:38,Discussion of Erik Sudderth’s talk: NPB Hype or Hope?, Yann LeCun
86. 309views,16:15,A Collaborative Mechanism for Crowdsourcing Prediction Problems, Jacob Aberneth
87. 1993views,39:15,Speeding Up Stochastic Gradient Descent, Yoshua Bengio
88. 126views,24:42,LODifier: Generating Linked Data from Unstructured Text, Isabelle Augenstein
89. 304views,19:47,Iterative Learning for Reliable Crowdsourcing Systems, Sewoong Oh
90. 1246views,24:03,Collaborative Filtering with Temporal Dynamics, Yehuda Koren
91. 714views,21:56,HIV-Haplotype Inference using a Constraintbased Dirichlet Process Mixture Model, Sandhya Prabhakaran, Melanie Rey
92. 1272views,22:40,Modeling the S&P 500 Index using the Kalman Filter and the LagLasso, Nicolas Mahle
93. 2064views,10:47,Ten problems for the next 10 years, Pedro Domingos,1comment
94. 2097views,23:15,Best Paper – Information-Theoretic Metric Learning, Brian Kulis
95. 926views,1:10:31,Neuroscience, cognitive science and machine learning, Konrad Körding
96. 2210views,1:21:57,Introduction to Kernel Methods, Partha Niyogi,5comments
97. 291views,12:00,Fast and Accurate k-means For Large Datasets, Michael Shindler
98. 2203views,2:56:16,Probabilistic and Bayesian Modelling I, Manfred Opper,1 comment
99. 2198views,1:00:00,Nonparametric Bayesian Models in Machine Learning, Zoubin Ghahramani
100. 1901views,48:34,Machine Learning for Intrusion Detection, Pavel Laskov

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