Machine Learning Day 2013 - Afternoon Sessions
Machine Learning Day 2013 - Clustering; Geometry Preserving Non-Linear Dimension Reduction
Machine Learning Day 2013 - Deep Learning; A Bayesian Information Criterion for Singular Models
Advanced Machine Learning with scikit-learn
Practical Machine Learning in Python
Machine Learning Explained in 100 Seconds
An Introduction to scikit-learn: Machine Learning in Python
A Gentle Introduction To Machine Learning; SciPy 2013 Presentation
Tech Day 2013: Joshua Tenenbaum PhD '99 - The Brain as Computer
Robotics 1 - Stefan Schaal - MLSS 2013 Tübingen
Watch Citadel's high-speed trading in action
Machine learning - Deep learning II, the Google autoencoders and dropout
Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
A Supervised Machine Learning Approach to ARV
Bayesian Nonparametrics 2 - Yee Whye Teh - MLSS 2013 Tübingen
Gaussian Processes 2 - PhilippHennig - MLSS 2013 Tübingen
Machine Learning 10-701 2013/H2 Lecture 1
S Shankar Introduction to machine learning using Python tools
How The Economic Machine Works by Ray Dalio
Gaussian Processes 1 - Philipp Hennig - MLSS 2013 Tübingen
