Machine Learning in Manufacturing 1st Edition

Discover Machine Learning in Manufacturing, 1st Edition by Carlos A. Escobar and Ruben Morales-Menendez — a practical, forward-looking guide that brings advanced data science into the heart of production. Clear, concise and rooted in real-world factory challenges, this book captures the promise of industrial AI for engineers, operations managers, and technical leaders.

You’ll find step-by-step explanations of core machine learning techniques applied to manufacturing: predictive maintenance, quality control, process optimization, anomaly detection, and robotic systems. Case studies and industry-focused examples illuminate how algorithms translate to measurable gains on the shop floor — reduced downtime, higher yield, and smarter decision-making. The authors balance theory with accessible implementation advice, making complex models understandable without sacrificing technical rigor.

Designed for today’s global manufacturing landscape, the book addresses practical deployment across diverse environments — from automotive plants in Europe to electronics lines in Asia and advanced factories in the US. It highlights data collection, sensor integration, and the organizational changes required to scale AI initiatives within Industry 4.0 ecosystems.

Whether you’re an experienced data scientist entering manufacturing or a production leader planning digital transformation, this edition equips you with the tools to turn data into operational advantage. Enhance factory performance, increase competitiveness, and future-proof your operations with actionable insights from two leading experts.

Order your copy now and start building smarter, more resilient production systems powered by machine learning.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.