The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish ...

This tutorial aims to demonstrate the best practices of building, evaluating and deploying predictive models in healthcare using a language and environment for statistical computing called R [1].

Spark is a genearal cluster computing engine for large-scale data processing. In this repository we store tutorials, exercises, and code snippets, to get started with Spark for predictive modeling.

In this tutorial, we extended those materials by providing a detailed step-by-step process of using Spark Python API PySpark to demonstrate how to approach predictive maintenance for big data ...

Building a Predictive Analytics Model Made Easy. Make no mistake, predictive analytics is not simple. However, with a step by step approach, any marketer can nail it. Here’s how. Define a Clear Goal ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions ...

This works provides an introduction to support vector machines (SVMs) for predictive modeling in heterogeneous catalysis, describing step by step the methodology with a highlighting of the points ...