Data og IT

Visual Ergonomics for Communication Design reveals the application of ergonomics principles in visual communication design. It enables the visual designer to look at different aspects of visual design from the point of view of the user to ensure that their designs are more user-friendly.

This book covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.

This monograph proves that any finite random number sequence is represented by the multiplicative congruential (MC) way. It also shows that an MC random number generator (d, z) formed by the modulus d and the multiplier z should be selected by new regular simplex criteria to give random numbers an excellent disguise of independence.

Details topics related to big data customer analytics and its application for customer retention. Covers topics on the use of big data in businesses that include personalization and customization of products and services, segmentation, digital marketing, customer relationship management, loyalty programs, and customer loyalty and retention.

Overviews how artificial intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest artificial intelligence-based solutions for e-commerce, corporate management, finance, banking, and trading, and more. Explores AI and ML techniques to forecast and assess different financial risks.

Details latest in IoT technology for revolutionizing current healthcare systems. Discusses the current state of healthcare systems detailing a range of technologies for improving healthcare. Describes how the cloud platform can be used for health monitoring systems and how healthcare IoT devices can transform the future of healthcare.

Details trends and challenges of computational modeling, simulation, and optimization techniques and its applications in the field of engineering sciences. Presents case studies and illustrations of computational techniques on materials and manufacturing in a various applications.

Discusses development and evolution of smart learning, learning analytics, intelligent learning, and the Internet of Things for student empowerment. Covers topics on digital pedagogy, including educational robotics, immersive technology-based education systems, interactive e-books, virtual reality and augmented reality technology, etc.

From the creator of HBO's hit series "How To with John Wilson" comes a new book exploring the dark and very questionable choices behind Zillow listings.“Your Dream Home” is a collection of screenshots from real estate listings that John Wilson took between 2020 and 2024.

Digital Twin and Blockchain for Smart Cities discusses the convergence of two transformative technologies: digital twins and blockchains. These technologies enhance developments to make cities more smart and sustainable. The book provides fundamental information on blockchain and digital twins and their uses in smart cities. The book will include key aspects of real-time city modeling, data security, and trust for storing sensitive urban data. By merging these technologies, cities can overcome existing challenges, encourage innovation, and create more livable connections and responsive urban spaces. This book covers topics in creating virtual data-driven replicas for urban systems. It also provides insights into efficient resource allocations and reduces energy consumption. In addition, this book discusses how blockchain technology enables trust and collaboration among various stakeholders. Read more about how blockchain-enabled smart technology monitors frameworks in healthcare systems and manages facilities. In the last section, this book will also provide more efficient, resilient, and sustainable urban environments that empower citizens to help shape the city's future.

Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform. In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests. Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform. By the end of this book, you'll know everything you need to ace the Databricks Data Engineer Associate certification exam with flying colors, and start your career as a certified data engineer from Databricks! You'll learn how to: Use the Databricks Platform and Delta Lake effectively Perform advanced ETL tasks using Apache Spark SQL Design multi-hop architecture to process data incrementally Build production pipelines using Delta Live Tables and Databricks Jobs Implement data governance using Databricks SQL and Unity Catalog Derar Alhussein is a senior data engineer with a master's degree in data mining. He has over a decade of hands-on experience in software and data projects, including large-scale projects on Databricks. He currently holds eight certifications from Databricks, showcasing his proficiency in the field. Derar is also an experienced instructor, with a proven track record of success in training thousands of data engineers, helping them to develop their skills and obtain professional certifications.

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more. Author Florent Poux helps you leverage the potential of cutting-edge algorithms and 3D AI models to develop production-ready systems with a focus on automation. You'll learn how to define 3D systems, leverage powerful algorithms, and deploy 3D digital experiences for your industry (geospatial applications, self-driving cars, medical imaging, robotics, manufacturing, computer vision/graphics, and more). This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions. You'll learn: Core concepts and representations of 3D data (meshes, point clouds, voxels, CAD) How to load, manipulate, analyze, and visualize 3D data using powerful Python libraries Advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) 3D reconstruction techniques to generate 3D datasets Automated 3D modeling and generative AI workflows Practical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving How to build end-to-end 3D Python apps through real-world projects Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. Heâ s also head professor at the 3D Geodata Academy and innovation director for French Tech 120.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly).

The Complete Guide for CISA Examination Preparation delivers complete coverage of every topic on the latest release of the Certified Information Systems Auditor (CISA) exam. Designed to help candidates pass the CISA exam easily, it also serves as an ideal on-the-job reference.

This book aims to provide a comprehensive overview of the evolution, trends, techniques, impact on critical infrastructures and national security, countermeasures, and open research directions in this area. It will serve as a valuable source of knowledge on the topic.

The book focuses on the ethical issues of human likeness of robots and human tendency to anthropomorphize. It is built on the assumption that design choices are not neutral, and they need to be discussed to align robots with human values.

The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, health practitioners, and students will all benefit from the knowledge in this book.

The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, health practitioners, and students will all benefit from the knowledge in this book.

The book examines leading Industry 4.0 and 5.0 and Industrial Internet of Things technologies enhanced with computational intelligence (CI) techniques. The book covers modelling, controls, estimations, applications, and systems. It considers this multi-disciplinary domain that is based on data collected from smart sensors.

The vast majority of startups digital transformation programmes fail despite having both time and money, energy and resources. Why to answer this question the book amasses interviews and case studies from within big corporates and successful startups as well as industry observers, regulators, commentators and practitioners.

This book is an attempt to bring to fore the many lies and deceptions committed by the business world.