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Predictive modeling is the art of building statistical models that forecast probabilities and trends of future events. It has broad applications in industry across different domains. Some popular examples include user intention predictions, lead scoring, churn analysis, etc. In this tutorial, we wil ...

Recommendation systems have become ubiquitous for web applications. Given significant heterogeneity in user preference, providing personalized recommendations is key to the success of such systems. To achieve this goal at scale, using machine learned models to estimate user preference from user feed ...

Surface roughness plays a major role in the movement of fluids through fracture systems. Fracture surface profiling is necessary to tune the properties of numerical fractures required in fluid flow modelling to those ofreal rock fractures. This is achieved using a variety of (i) mechanical and (ii) ...