Engineering Analytics - Advances in Research and Applications (Hardcover)

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	September 2021
First published:	2022
Editors:	Luis Rabelo • Edgar Gutierrez-Franco • Alfonso Sarmiento • Christopher Mejia Argueta
Dimensions:	234 x 156 x 24mm (L x W x T)
Format:	Hardcover
Pages:	268
ISBN-13:	978-0-367-68534-8
Categories:	Books > Arts & Architecture > Industrial / commercial art & design > Product design Books > Professional & Technical > Technology: general issues > Engineering: general Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-367-68534-5
Barcode:	9780367685348

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