Craig Brown

Discover the future of manufacturing with this comprehensive guide to Industry 4.0. The digital transformation of industrial processes, propelled by Cyber-Physical Production Systems and Industrial Internet of Things technologies, offers unprecedented opportunities for hyper-efficient and highly flexible plants. However, deployment and maintenance costs, lack of awareness and knowledge, and uncertain business benefits have hindered progress. In response, the Digital Shopfloor Alliance provides leading edge digital automation solutions and guidelines for successful deployment, validated by three European Commission-funded projects. This book offers a detailed overview of the Alliance's solutions, including digital simulation and complementary assets, making it an indispensable tool for manufacturers seeking to benefit from Industry 4.0.

This book explores the fascinating world of deep learning, which teaches computers to understand the world through a hierarchy of concepts. It covers mathematical and conceptual background, techniques used in industry, and research perspectives. Readers will learn about relevant topics in linear algebra, probability theory, and more, as well as practical applications in areas like natural language processing and computer vision. Perfect for students or engineers looking to incorporate deep learning into their work. Supplementary material available on the website.

Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi... Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible. Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively. This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results. You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world