About this document
Machine Learning in Chemical Engineering by sdsdsd is a document available to read on EtoBox.
This document provides an introduction to machine learning for chemical engineers. It defines machine learning as using past experience to improve decision making by discovering patterns in large amounts of data. The document outlines various machine learning algorithms like supervised, unsupervised, and reinforced learning. It discusses applications of machine learning in areas like process monitoring, soft sensing, and parameter optimization. Finally, it provides examples of machine learning applications
- Author
- sdsdsd
- Language
- EN