Can I read Machine Learning in Python for Dynamic Process Systems on EtoBox?

Machine Learning in Python for Dynamic Process Systems by Ankur Kumar, Jesus Flores-Cerrillo is a nonfiction available to read on EtoBox.

What is Machine Learning in Python for Dynamic Process Systems about?

This book provides a comprehensive coverage of Machine Learning (ML) methods that have proven useful in process industry for dynamic process modeling. Step-by-step instructions, supported with industry-relevant case studies, show (using Python) how to develop solutions for process modeling, process monitoring, etc., using classical and modern methods. This book is designed to help readers gain a working-level knowledge of machine learning-based dynamic process modeling techniques that have proven useful in process industry. Readers can leverage the concepts learned to build advanced solutions for process monitoring, soft sensing, inferential modeling, predictive maintenance, and process control for dynamic systems. The application-focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers, and data scientists. The authors of this book have drawn from their years of experience in developing data-driven industrial solutions to provide a guided tour along the wide range of available ML methods and declutter the world of machine learning for dynamic process modeling. Applications on time series analysis, process disturbance mo

Who reads Machine Learning in Python for Dynamic Process Systems?

Author

Ankur Kumar, Jesus Flores-Cerrillo

Publisher

Leanpub

Published

2023

Language

EN

Category

nonfiction

Subjects

Computer Science, Algorithms And Data Structures, Stem