2017-03-11

Machine learning (2013) by Nando de Freitas at UBC

# click the upper-left icon to select videos from the playlist

source: Nando de Freitas    2013年1月25日
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/...
Course taught in 2013 at UBC by Nando de Freitas

introduction 59:58
linear prediction 1:04:20
Maximum likelihood and linear regression 1:14:01
Regularization and regression 1:01:16
regularization, cross-validation and data size 58:47
Bayesian learning 1:17:40
Bayesian learning part 2 21:10
Introduction to Gaussian processes 1:18:55
Gaussian processes 1:17:28
Bayesian optimization and multi-armed bandits 1:20:30
Decision trees 1:06:06
Random forests 1:16:55
Random forests applications 51:42
Unconstrained optimization 1:16:19
Logistic regression 1:13:47
Logistic regression 1:13:47
Neural networks 1:04:24
Deep learning I 1:15:05
Deep learning II, the Google autoencoders and dropout 1:12:03
Importance sampling and MCMC I 1:16:18
Markov chain Monte Carlo (MCMC) II 39:17

1 comment:

ajithajohn said...

Such a great blog. Got many useful inforamations about this thechnology.
Very useful for the freshers. Good keep it up.
machine learning course in chennai
machine learning training in chennai
machine learning institute in chennai