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The slides are available here. Optimization and logistic regression. Http//wwwcsubcca/~nando/3402012/lecturesphp this course was taught i.
The slides are available here. Introduction to conditional probability, matrix representation of discrete probabilities, bayes rule and examples, such as pagerank for web search medica. The slides are available here.
A probabilistic perspective on simple least squares problem. Http//wwwcsubcca/~nando/5402013/lectureshtml course taught in 2013 at ubc by nando de freitas. The slides are available here.
Introduction to bayesian learning. Introduction to machine learning. Http//wwwcsubcca/~nando/5402013/lectureshtml course taught in 2013 at ubc by nando de freitas.