## Machine Learning Trick of the Day (5): Log Derivative Trick12

Machine learning involves manipulating probabilities. These probabilities are most often represented as normalised-probabilities or as log-probabilities. An ability to shrewdly alternate between these two representations is a vital step towards strengthening the probabilistic dexterity we need to solve modern machine learning problems. Today's trick, the log derivative trick, helps us to do just this, using the property of the derivative of the logarithm. This ...

## Talk: Memory-based Bayesian Reasoning and Deep Learning

A talk that explores the convergence of deep learning and Bayesian inference.  We'll take a statistical tour of deep learning, think about approximate Bayesian inference, and explore the idea of doing inference-with-memory and the different ways that this manifests itself in contemporary machine learning. Slides See the slides using this link. Abstract Deep learning and Bayesian ...