The reputation of SystemML is on the rise. This flexible machine learning system scales automatically to Apache Spark™ and Hadoop clusters and offers faster analysis on fewer nodes — with substantial improvements in accuracy. In this presentation from Spark Summit in June 2016, researcher Fred Reiss spells out use cases for custom ML algorithms — across the spectrum from auto manufacturing to the Watson Health initiative.
Video is here:
And check out the slides on SlideShare