Introduction to Parallel Iterative Machine-Learning Algorithms on Hadoop’s Next-Generation YARN Framework
Online learning techniques, such as Stochastic Gradient Descent (SGD), are powerful when applied to risk minimization and convex games on large problems. However, their sequential design prevents them from taking advantage of newer distributed frameworks such as Hadoop Map/Reduce. In this class, we will take a look at how we parallelize parameter estimation for linear models on the next-gen YARN framework Iterative Reduce and the parallel machine-learning library Metronome.
Level : Advanced