Machine Learning Laboratory

The first laboratory has not been recorded but has featured some hands on experiments with Elefant ([[http://elefant.developer.nicta.com.au]]) mainly concentrating on installing, using, and developing machine learning algorithms within the Elefant framework. We will walk through examples of implementing a simple stochastic gradient descent algorithm as a part of this tutorial. This is the second part of the second session which is split with [[mlss08au_webers_mll|//Christfried Webers's// "%title"]] and will feature hands on experiments with BNRM (Bundle Methods for Regularized Risk Minimization) ([[http://users.rsise.anu.edu.au/~chteo/BMRM.html]]). The emphasis here will be on developing various loss function modules which can then be plugged into the BMRM solver.