Data og IT

This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like AI and ML are reshaping the medical landscape.

The fantasy of exploring a different, enchanting cosmetic world is a dream many humans long to experience. Imagine acknowledging the existence of different species that share some human values yet are unique in their nature. It's not every day we have the thrill of diving into other worlds, but the mysterious and unknown realm of the Jinn is something many seek to explore. This book offers a glimpse into a world beyond our wildest imaginations. Throughout history, stories of such worlds have captivated the minds of people, whether believed to be true or mere myth. Readers are encouraged to open their minds before opening their eyes and let their imaginations soar beyond all boundaries.

This book provides an integrative overview of Internet-of-Things (IoT) and Cloud Computing to be used for the various futuristic and intelligent applications. It includes a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure and real-time data monitoring.

This book focuses on the global landscape in which insurance is transacted, and where it is evolving, driven from within by transformative technologies and externally by the necessity to address risks like climate change and health crises, such as the COVID-19 pandemic.

This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies.

This book covers computer vision-based applications in digital health care industry 4.0 including different computer vision techniques, image classification, image segmentations, and object detection

Cancer is considered a leading cause of death worldwide. Therefore, in recent years, not only new diagnosis methods but also new treatments have been developed. This book discusses new trends such as artificial intelligence, thermal images, bioimpedance to diagnose cancer, and novel treatment techniques.

The book takes readers into the smart system domain and provides theoretical and practical knowledge along with case studies in smart healthcare. It uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality to implement cost-effective, real-time, and user-friendly solutions for healthcare problems.

This book examines positions that challenge the Fregean logic-first view. It will be a resource for academics, researchers, and advanced students of philosophy, linguistics, mathematics, and computer science.

The book gives fresh insights on educators and education administrators to act proactively for an emergency's like COVID-19. It will be a resource for educators, academics, researchers, and students of Education, Instructional Design & Technology, Educational Leadership, Policy & Technology and Research Methods.

Want to design your own video games? Let expert Scott Rogers show you how! If you want to design and build cutting-edge video games but aren't sure where to start, then the THIRD EDITION of the acclaimed Level Up! is for you! Written by leading video game expert Scott Rogers, who has designed for the hits Pac-Man World, God of War, Maximo and SpongeBob SquarePants, this updated edition provides clear and well-thought-out examples that forgo theoretical gobbledygook with charmingly illustrated concepts and solutions based on years of professional experience. Level Up! 3rd Edition has been NEWLY EXPANDED to teach you how to develop marketable ideas, learn what perils and pitfalls await during a game's pre-production, production and post-production stages, and provide even more creative ideas to serve as fuel for your own projects including: Developing your game design from the spark of inspiration all the way to production Learning how to design the most exciting levels, the most precise controls, and the fiercest foes that will keep your players challenged Creating games for console, mobile, and VR/AR/MR--including detailed rules for game play design and controls Monetizing your game from the design up Play test your game to get the best feedback from your players Level Up! 3rd Edition features all-new content, including two new chapters and even a brand-new chili recipe--making it the most indispensable guide for video game designers both "in the field" and the classroom.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advance techniques like wearable technologies, image processing in the sector. It focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects.

The textbook explores fundamental security theories that govern common software security technical issues. It teaches how to implement security solutions using popular software packages. It touches upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.

One of the world's top negotiators talks about his hunt for cybercriminals. Geert Baudewijns, full-time ransomware negotiator, takes the reader into the dark side of the digital world.

This book offers a straightforward explanation of groundbreaking artificial vision technology, which can provide limitless scalable resolution and lens-less, human-like vision with electronic control over focus, field of view, and direction. It is richly illustrated with colorful diagrams and straightforward explanations.

Discusses use of AI and its computer-aided applications in designing new drugs and chemical products, for toxicity prediction and biodegradation, and for fault diagnosis in chemical processing plants. Provides mathematical and nonmathematical applications of AI in chemical sciences.

How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions.In Causal AI you will learn how to: Build causal reinforcement learning algorithms Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro Compare and contrast statistical and econometric methods for causal inference Set up algorithms for attribution, credit assignment, and explanation Convert domain expertise into explainable causal models Causal AI is a practical introduction to building AI models that can reason about causality. Author Robert Ness, a leading researcher in causal AI at Microsoft Research, brings his unique expertise to this cutting-edge guide. His clear, code-first approach explains essential details of causal machine learning that are hidden in academic papers. Everything you learn can be easily and effectively applied to industry challenges, from building explainable causal models to predicting counterfactual outcomes. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Causal machine learning is a major milestone in machine learning, allowing AI models to make accurate predictions based on causes rather than just correlations. Causal techniques help you make models that are more robust, explainable, and fair, and have a wide range of applications, from improving recommendation engines to perfecting self-driving cars. About the book Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and develop a high-level understanding of this next major trend in AI. New techniques are demonstrated with example models for solving industry-relevant problems. You’ll learn about causality for recommendations; causal modeling of online conversions; and uplift, attribution, and churn modeling. Each technique is tested against a common set of problems, data, and Python libraries, so you can compare and contrast which will work best for you. About the reader For data scientists and machine learning engineers. A familiarity with probability and statistics will be helpful, but not essential, to begin this guide. Examples in Python. About the author Robert Ness is a leading researcher in causal AI at Microsoft Research. He is a contributor to open-source causal inference packages such as Python’s DoWhy and R’s bnlearn.

"Learn to build standout line-of-business applications using Microsoft's .NET Framework, the premier platform for enterprise business development. Based on the bestselling .NET Core in Action, the new .NET in Action, Second Edition has been completely rewritten and updated by original author Dustin Metzgar--an industry veteran who helped develop both the original .NET Framework and .NET Core."-- Publisher provided description.