ABSTRACT
Great changes have been taking place in the underground mines of the world for several years now. More and more data is being collected at each stage of the extraction process, at ever-increasing frequency and accuracy. In this context, the use of this data poses new challenges in analysis and prediction. This presentation will discuss the various Machine Learning techniques used by Newtrax to extract value out of this data and examples of concrete applications of these techniques.
