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Nando de Freitas
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Nando de Freitas y Les gustó a 7 personas.
A Bayesian Interactive Optimization Approach to Procedural Animation Design
My video for the 2010 Symposium on Computer Animation.
In this paper, we present an optimization method for setting parameters of a procedural fluid animation system by showing the user examples o... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Markov chain Monte Carlo (MCMC) II
Metropolis-Hastings algorithm. Application to logistic regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Importance sampling and MCMC I
Importance sampling and Markov chain Monte Carlo (MCMC). Application to logistic regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by ... -
Nando de Freitas y Les gustó a 8 personas.
Machine Learning 10-701 Lecture 7 (Kernel Methods)
Introduction to Machine Learning (PhD level)
http://alex.smola.org/teaching/cmu2013-10-701/ -
Nando de Freitas y Les gustó a 38,812 personas.
Introducing the Leap Motion
Leap Motion represents an entirely new way to interact with your computers. It's more accurate than a mouse, as reliable as a keyboard and more sensitive than a touchscreen. For the first time, you... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Deep learning II, the Google autoencoders and dropout
Deep learning: Autoencoders, the google network and dropout nets
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Deep learning I
Deep learning: Autoencoders for unsupervised and transfer learning. Receptive fields pooling and complex cells.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Neural networks
Neural Networks
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Logistic regression
Logistic regression: Optimization and Bayesian inference via Monte Carlo.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Unconstrained optimization
Unconstrained optimization: Gradient descent, online learning and Newton's method.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de F... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Random forests applications
Applications of random forests: kinect, object detection and regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas. Th... -
I like it that for this video, youtube recommends a video of a girl with lots of red spots on her face titled "New Virus to End it All!"
HarleMCMC Shake — emcee Style
Inspired by: http://www.youtube.com/watch?v=Vv3f0QNWvWQ
Generated using emcee: http://dan.iel.fm/emcee
Source code: https://github.com/dfm/emcee/blob/master/examples/harlemc... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Random forests
Random forests, aka decision forests, and ensemble methods.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Decision trees
Decision trees for classification.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Bayesian optimization and multi-armed bandits
Bayesian optimization, Thompson sampling and multi-armed bandits. Applications to algorithm configuration, intelligent user interfaces, advertising, control and other decision problems.
Slides avai... -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Gaussian processes
Regression with Gaussian processes
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Introduction to Gaussian processes
Introduction to Gaussian process regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Bayesian learning part 2
Continuation of Bayesian learning for linear regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Bayesian learning
Bayesian learning for linear models
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - regularization, cross-validation and data size
Model complexity, regularization and data size
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Regularization and regression
Ridge regression, regularization, polynomial regression and basis functions.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - Maximum likelihood and linear regression
Maximum likelihood and linear regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - linear prediction
Linear regression and least squares.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
Nando de Freitas subió • agregó a Machine Learning 2013
Machine learning - introduction
Introduction to machine learning.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas -
You can download some of the change blindness videos from Ron Rensink's website at UBC under /~rensink/flicker/download/
Enjoy!
undergraduate machine learning 1: Introduction to machine learning
Introduction to machine learning.
The slides are available here: http://www.cs.ubc.ca/~nando/340-2012/lectures.php
This course was taught in 2012 at UBC by Nando de Freitas -
Nando de Freitas subió • hizo comentarios
:)
undergraduate machine learning 33: Random forests, face detection and Kinect
Decision forests for object detection in images and for the Microsoft Kinect.
The slides are available here: http://www.cs.ubc.ca/~nando/340-2012/lectures.php
This course was taught in 2012 at UBC ...