LIST OF TOP LECTURES (counting since March 2007):

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[syn]  1692 views, 00:55:47 Text Classification William Cohen 7 comments	1312 views, 00:03:21 K-nearest neighbor classification Antal van den Bosch 2 comments	[syn]  1654 views, 02:07:12 Boosting Robert Schapire 3 comments	[syn]  22 views, 01:00:37 Should all Machine Learning be Bayesian? Should all Bayesian models be non-parametric? Zoubin Ghahramani	56 views, 00:30:18 The Structure of Information Pathways in a Social Communication Network Jon Kleinberg
1598 views, 00:04:38 Interview with Fei-Fei Li Davor Orlič, Fei-Fei Li	[syn]  1092 views, 02:22:16 Convex Optimization Lieven Vandenberghe 2 comments	55 views, 02:19:14 Graph Mining and Graph Kernels Karsten Michael Borgwardt, Xifeng Yan	[syn]  1054 views, 02:06:49 Introduction to kernel methods Bernhard Schölkopf 3 comments	[syn]  1444 views, 04:31:39 Kernel Methods Alexander J. Smola 2 comments
8 views, 00:03:40 Interview with Walter H. Lewin Walter H. G. Lewin	[syn]  1022 views, 02:09:54 Learning Bayesian Networks Richard E. Neapolitan 1 comment	1100 views, 01:08:24 PANEL: Experiences in research, teaching, and applications of ML Joaquin Quiñonero Candela, Colin de la Higuera, Isabelle Guyon, José Balcázar, Mark Girolami, Mikaela Keller, Ulrike von Luxburg 1 comment	[syn]  49 views, 00:24:37 Weighted Graphs and Disconnected Components Mary McGlohon	[syn]  100 views, 00:37:06 Information evolution of optimal learning Roman V. Belavkin
[syn]  1090 views, 00:57:16 Introduction to feature selection Isabelle Guyon	[syn]  524 views, 00:50:28 Spectral Clustering Arik Azran	16 views, 00:49:12 Lecture 11: Work - Kinetic Energy - Potential Energy - Conservative Forces - Conservation of Mechanical Energy - Newton's Law of Universal Gravitation Walter H. G. Lewin	16 views, 00:42:42 Data Clustering: 50 Years Beyond K-means Anil K. Jain	[syn]  1364 views, 03:32:21 Introduction to Learning Theory Olivier Bousquet
[syn]  1351 views, 05:16:54 Graphical Models and Variational Methods Christopher Bishop 7 comments	809 views, 01:04:07 The Paradox of Choice - Why More Is Less Barry Schwartz 2 comments	[syn]  1328 views, 00:32:36 The Dynamics of AdaBoost Cynthia Rudin 1 comment	[syn]  920 views, 05:07:12 Introduction to bioinformatics Gunnar Rätsch 5 comments	[syn]  809 views, 00:20:36 Learning to align: a statistical approach Elisa Ricci
15 views, 00:03:20 Introduction to the MIT 8.01 course Walter H. G. Lewin	[syn]  546 views, 01:28:05 Introduction to Support Vector Machines Colin Campbell 2 comments	1284 views, 00:08:36 Interview with Tom Mitchell Davor Orlič, Tom Mitchell 1 comment	ICML keynote speaker 181 views, 01:07:32 STAIR: The STanford Artificial Intelligence Robot project Andrew Ng, Andrew McCallum	[syn]  17 views, 00:26:13 A note on the relationship between different types of correction queries Cristina Tirnauca
[syn]  1274 views, 03:52:27 Markov Chain Monte Carlo Methods Christian Robert 2 comments	invited talk [syn]  1013 views, 01:14:13 Bayesian models of human inductive learning Josh Tenenbaum 3 comments	768 views, 00:32:24 CERN's 27km Big Bang machine Brian Cox 3 comments	[syn]  1251 views, 00:44:30 Text Visualisation Tutorial Marko Grobelnik 2 comments	924 views, 00:10:50 Ten problems for the next 10 years Pedro Domingos
43 views, 00:16:46 Microscopic Evolution of Social Networks Jure Leskovec	[syn]  1214 views, 03:13:52 Bayesian Inference: Principles and Practice Mike Tipping 3 comments	14 views, 00:49:41 Lecture 3: Vectors - Dot Products - Cross Products - 3D Kinematics Walter H. G. Lewin	764 views, 00:16:51 Interview with Usama Fayyad Davor Orlič, Usama Fayyad 1 comment	680 views, 00:47:07 Money As Debt Paul Grignon

TOP LECTURES

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