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.

http://www.deeplearningbook.org/ .. This book can be useful for a variety of readers, but we wrote it with two main target audiences in mind. One of these target audiences is university students (undergraduate or graduate) learning about machine learning, including those who are beginning a career in deep learning and artificial intelligence research. The other target audience is software engineers who do not have a machine learning or statistics background, but want to rapidly acquire one and begin using deep learning in their product or platform. Deep learning has already proven useful in many software disciplines including computer vision, speech and audio processing, natural language processing, robotics, bioinformatics and chemistry, video games, search engines, online advertising and finance. This book has been organized into three parts in order to best accommodate a variety of readers. Part I introduces basic mathematical tools and machine learning concepts. Part II describes the most established deep learning algorithms that are essentially solved technologies. Part III describes more speculative ideas that are widely believed to be important for future research in deep learning. We do assume that all readers come from a computer science background. We assume familiarity with programming, a basic understanding of computational performance issues, complexity theory, introductory level calculus and some of the terminology of graph theory.

Discover the exciting world of machine learning and how it powers innovative breakthroughs in technology. With the help of Python, learn the fundamentals of transforming data into knowledge and developing algorithms efficiently. This book covers problem-solving with a focus on classification, regression analysis, and clustering. Build your machine learning system for sentiment analysis and embed it into a web app for the world to see. Gain practical knowledge and improve your skillset with the best practices of machine learning.