[video]videolectures上最火的100个机器学习

videolectures上最火的100个机器学习的视频 - chinaliping的专栏 - CSDN博客
http://blog.csdn.net/chinaliping/article/details/9232897

Enjoy this weeks list!

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

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

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

Cover of Cover of Statistical Learning Theory

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

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

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

Related articlesScalable Machine Learning Course (datascience101.wordpress.com)
7th Annual Machine Learning Symposium (hunch.net)
Message-Oriented Object Design and Machine Learning in JavaScript (architects.dzone.com)
Large Scale (Machine) Learning at Twitter (videolectures.net)
Hidden Benefits of Online Learning (i-programmer.info)
Model checking and model understanding in machine learning (andrewgelman.com)
Machine Learning Book for Students and Researchers (googleresearch.blogspot.com)
Wagstaff (2012, jpl) machine learning that matters (slideshare.net)
Why becoming a data scientist might be easier than you think (gigaom.com)
The Man-Machine Framework: How to Build Machine-Learning Applications the Right Way (forbes.com)

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