LIST OF TOP LECTURES (counting since March 2007):

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[syn]  36775 views, 03:02:12 Basics of probability and statistics Mikaela Keller 59 comments	[syn]  2232 views, 02:51:03 Introduction To Bayesian Inference Christopher Bishop 2 comments	[syn]  9171 views, 01:36:27 PhD Thesis Defense: Dynamics of large networks Jure Leskovec 1 comment	[syn]  17607 views, 04:59:19 Machine Learning, Probability and Graphical Models Sam Roweis 22 comments	[syn]  1019 views, 02:07:31 Patterns in Vector Spaces Elisa Ricci 1 comment
[syn]  15560 views, 01:43:02 Fuzzy Logic Michael Berthold 49 comments	[syn]  1266 views, 03:02:14 Information Theory David MacKay	4439 views, 00:39:58 Lecture 1: The Geometry of Linear Equations Gilbert Strang 7 comments	[syn]  1157 views, 02:27:56 Markov Chain Monte Carlo Iain Murray 1 comment	Google - invited talk 3798 views, 01:05:00 Challenges in Building Large-Scale Information Retrieval Systems 2 comments
[syn]  1138 views, 02:57:15 Bayesian or Frequentist, Which Are You? Michael I. Jordan	[syn]  12069 views, 03:54:31 Support Vector Machines Chih-Jen Lin 17 comments	[syn]  7748 views, 05:22:53 Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making Nando de Freitas 15 comments	[syn]  11921 views, 01:00:47 Gaussian Process Basics David MacKay 6 comments	[syn]  3493 views, 01:20:35 Lecture 1: Administrivia, Introduction, Analysis of Algorithms, Insertion Sort, Mergesort Charles E. Leiserson 8 comments
[syn]  7082 views, 01:12:20 On The History of Ugliness Umberto Eco 6 comments	4304 views, 00:38:12 Lecture 1: Powers of Ten - Units - Dimensions - Measurements - Uncertainties - Dimensional Analysis - Scaling Arguments Walter H. G. Lewin 5 comments	89 views, 00:33:02 Lecture 1 - Introduction Donald Kagan	[syn]  3189 views, 01:24:33 Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search Erik Demaine 2 comments	[syn]  191 views, 01:56:32 Understanding Visual Scenes Antonio Torralba
[syn]  3021 views, 01:10:31 Lecture 2: Asymptotic Notation, Recurrences, Substitution, Master Method Erik Demaine 4 comments	4026 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 1 comment	1201 views, 03:06:48 A tutorial on Deep Learning Geoffrey E. Hinton	3321 views, 01:07:02 The Time Paradox: The New Psychology of Time That Will Change Your Life Philip Zimbardo 3 comments	2852 views, 00:51:36 Lecture 27: Organic Chemistry: Basic Concepts, Alkanes, Alkenes, Alkynes, Aromatics, Functional Groups, Alcohols and Ethers, Aldehydes and Ketones, Esters, Amines Donald Sadoway 3 comments
2095 views, 01:30:20 Why only Atheists can truly believe? Slavoj Žižek 2 comments	372 views, 01:53:59 Musical process with Miha Pogačnik and symphony orchestra Miha Pogačnik, Blaž Golob	[syn]  7918 views, 06:39:36 Probabilistic Graphical Models Sam Roweis 14 comments	[syn]  2658 views, 01:23:51 Lecture 10: Red-black Trees, Rotations, Insertions, Deletions Erik Demaine	[syn]  7723 views, 05:02:23 Statistical Learning Theory John Shawe-Taylor 2 comments
[syn]  708 views, 02:36:17 Graphical Models Zoubin Ghahramani 2 comments	2344 views, 00:36:17 Lecture 1: Introduction Robert A. Weinberg 4 comments	2677 views, 00:48:55 Lecture 1: The Geometrical View of y'=f(x,y): Direction Fields, Integral Curves Arthur Mattuck 1 comment	[syn]  2525 views, 01:17:16 Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints Erik Demaine 2 comments	[syn]  6087 views, 01:34:49 Dirichlet Processes: Tutorial and Practical Course Yee Whye Teh 6 comments
[syn]  2969 views, 05:52:44 Introduction to the Semantic Web Aldo Gangemi, Sean Bechhofer, Asunción Gómez-Pérez, Jim Hendler	2421 views, 00:30:47 String theory and cosmology Renata Kallosh	3172 views, 00:51:09 Lecture 2: 1D Kinematics - Speed - Velocity - Acceleration Walter H. G. Lewin 2 comments	[syn]  148 views, 02:00:44 Sparse Methods for Machine Learning: Theory and Algorithms Francis R. Bach	[syn]  6931 views, 00:42:43 A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Gaussian Markov Processes Chris Williams 11 comments

TOP LECTURES

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