Computer & IT

IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc.

This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21¿25, 2023.The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.

This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28¿30, 2022, in Montbéliard, France.The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.

This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

This monograph explores the synergy of Artificial Intelligence (AI), Augmented Reality (AR) and cognitive processes to enhance spatial abilities ¿ an integral aspect of cognitive development. The ability to comprehend and manipulate spatial information is not only fundamental to our understanding of the physical world but also plays a pivotal role in numerous academic and professional fields. Recognizing the profound impact of spatial ability on scientific disciplines and educational achievement, this monograph takes on the challenge of enhancing spatial skills among users.The authors present the design and development of a mobile training system that incorporates AR features to enhance learners¿ spatial ability. Involving mental generation, transformation, and rotation of visual images for understanding spatial relationships, spatial ability is closely linked to success in various scientific disciplines and educational pursuits. While spatial visualization skills testsare available, this monograph takes a unique approach by focusing on developing targeted interventions to improve spatial ability. It aims to unlock new avenues for cognitive growth and dive into the untapped potential within the realm of spatial intelligence. Beyond its emphasis on spatial ability enhancement, this monograph goes above and beyond traditional approaches by integrating AI techniques into the training system. As such, it aims to provide personalized and adaptive learning experiences for learners. The training system, through intelligent techniques, dynamically analyzes individual learners¿ strengths, weaknesses, and progress, tailoring content and challenges to their specific needs. This effort establishes a new frontier in educational technology, offering a groundbreaking solution that not only augments spatial ability development but also showcases the transformative potential of AI in reshaping the learning experience.The book is a valuable resource for researchers, educators, developers and technology enthusiasts, as it exemplifies the profound impact of AI and AR in shaping the future of online learning experiences.

»The Loss Carryback in Income Tax, Corporate Income Tax and Trade Tax-System, Constitutional Classification and Reform Proposal«: The thesis addresses the question whether the loss carryback is to be classified as a tax subsidy at the disposition of the law-maker or whether requirements of the constitutional law have to be taken into consideration in the process of its design. It is shown that restrictions on the loss carryback - also in trade tax - require justification regarding the laws of equality and civil liberty. On the basis of the constitutional framework that has been developed, a reform proposal is made, which includes the trade tax.

Dieses Buch zeigt die Grundlagen des KI-Tools ChatGPT und viele einfache Anwendungsmöglichkeiten, mit denen die Künstliche Intelligenz die Arbeit leichter macht.

Preparing for your iSAQB CPSA--Foundation Level exam? Make the grade with this study guide! First, tackle essential topics and fundamentals, beginning with development approaches and design techniques for scalable software architectures. Then, see how views, templates, and documents are used to communicate design decisions, and understand how to evaluate software architectures. Level up your exam prep with this handy resource!Highlights include:iSAQB CPSA-Foundation Level exam Architecture designDevelopment approachesArchitectural patternsTemplatesDocumentationPrototypesQuality managementDeploymentModeling toolsStatic code analysis toolsCode managementHighlights:iSAQB CPSA-Foundation Level exam Architecture designDevelopment approachesArchitectural patternsTemplatesDocumentationPrototypesQuality managementDeploymentModeling toolsStatic code analysis toolsCode management

Der zweite Band des Praxisbuches ¿Strategiewerkzeuge aus der Praxis¿ stellt wirksame Instrumente für die Optionenfindung, Strategieentwicklung und Umsetzungssicherung vor. Es bietet vertieftes Anwendungswissen und konkrete Anleitungen mit denen die Optionen-, Strategie- und Umsetzungsphasen systematisch, zielgerichtet und aus unterschiedlichen Perspektiven heraus gestaltet werden können. Die dargelegten Instrumente zielen auf die effektive Stärkung und den Aufbau von Wettbewerbsvorteilen ab, welche die Voraussetzung für die langfristige Lebensfähigkeit und eine attraktive Rentabilität des Unternehmens sind. Die strukturierte und vertiefende Darstellung der einzelnen Instrumente ermöglicht es dem Anwender zu beurteilen, welches Tool für die Suche, Bewertung und Priorisierung strategischer Alternativen sowie für die Entwicklung schlagkräftiger Strategien in der spezifischen Situation Erfolg verspricht. Die Kapitel sind so angelegt, dass für jedes Instrument der Schritt vom Wissen über die Anwendung hin zum Nutzen durch Praxisbeispiele vollzogen werden kann. Das Buch richtet sich an Führungskräfte, Mitarbeiter strategischer Fachbereiche, Studenten, Forscher und alle, die sich mit strategischen Fragestellungen auseinandersetzen und ihre Methodenkompetenz wirksam steigern wollen.Der Inhalt Produkt-Markt-Matrix, Wettbewerbsmatrix, Optionen-Box, Merger & Akquisition-Filter, Substitutionszeitkurve, Länderfilter, OptionenportfolioGeschäftsfeldstrategie, Funktionalstrategie, Szenariotechnik, Strategiekarte und Balanced Scorecard, KooperationsstrategieStrategisches Frühwarninformationssystem, Maßnahmencontrolling

Viele Organisationstheorien schließen Technik aus der sozialen Welt aus. Dies wird durch lernfähige Algorithmen infrage gestellt, deren Output sich nicht vollständig auf Menschen zurückrechnen lässt. Es ist deshalb notwendig, die Beziehung von Organisation und künstlicher Intelligenz ergebnisoffen zu untersuchen und zu erklären. Das vorliegende Buch analysiert zu diesem Zweck auf Grundlage einer Multiple-Case-Study, auf welche Weise, aus welchen Gründen und mit welchen Folgen künstliche Intelligenz an den Entscheidungen von Unternehmen beteiligt ist. Es stellt sich heraus, dass die Technik als Entscheidungsträger aktiv an Organisationen teilnehmen und deren strukturelles Fundament prägen kann. Dabei handelt es sich jedoch nur um eine von drei Erscheinungsformen künstlicher Intelligenz. Inwieweit KI-Anwendungen tatsächlich Gelegenheit erhalten, Entscheidungen zu treffen, bestimmen Organisationen nach eigenen Maßgaben.

Die Versuchsanordnung:20 Autorinnen und Autoren stellten sich im Juni 2023 dem Thema »Regen«. Der Blick auf dieses Wetterphänomen hat sich in Zeiten der Klimakrise ja geändert. Verregnete Sommer, gemütliche Regentage, das gleichmäßige Rauschen des Wassers in den Dachrinnen, das alles gibt es nur noch in unseren Erinnerungen. Stattdessen: Staub, steinharte Erde und Starkregenereignisse mit Überschwemmungen.Mit dabei als 21. Teilnehmende*r (das Geschlecht einer KI ist nicht ganz geklärt) war auch ChatGPT.

Delve into "The Emergence", a thought provoking book that interweaves a rich collection of essays and podcast episodes, revealing the untapped potential of human agency in the digital era. This book transcends traditional boundaries, offering insights into how communication technology, often mired in commercial interests, can be reimagined to prioritize individual needs and abilities.At the heart of "The Emergence" is a deep belief in the human spirit, exploring the idea that every individual, irrespective of their societal status, holds unique wisdom. The book challenges the status quo of knowledge sharing, currently restricted by profit-driven silos, and proposes a shift towards a more inclusive and empowering digital landscape.Spanning a timeline from the early 1960s to the revolutionary developments in AI and digital communication in 2023, "The Emergence" is a journey through evolving technologies.It documents the internet's transformation and critiques its current state of opacity and control by a few dominant forces.A key focus of the book is the potential of Generative AI, like OpenAI's ChatGPT, in reshaping communication technology. The author, drawing from personal experiences and the evolving narrative around AI, envisions a future where AI acts as a collaborative tool, enhancing human creativity and problem-solving, rather than overshadowing it."The Emergence" boldly addresses critical questions about the role of AI in society, the potential of decentralized technologies like Blockchain, and the power of community-driven solutions over corporate monopolies. It's an urgent call to rethink how we use technology to empower individuals, particularly in areas such as healthcare, education, news, entertainment, and social welfare.This book is more than just a collection of thoughts; it's a manifesto for a new era of digital independence and user-driven innovation. It's an essential read for anyone interested in the future of technology, societal progress, and the harnessing of collective human potential.Discover more about this enlightening journey at www.TheEmergence.io.

Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysis and data labelingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you'll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.What you will learnExcel in exploratory data analysis (EDA) for tabular, text, audio, video, and image dataUnderstand how to use Python libraries to apply rules to label raw dataDiscover data augmentation techniques for adding classification labelsLeverage K-means clustering to classify unsupervised dataExplore how hybrid supervised learning is applied to add labels for classificationMaster text data classification with generative AIDetect objects and classify images with OpenCV and YOLOUncover a range of techniques and resources for data annotationWho this book is forThis book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.Table of ContentsExploring Data for Machine LearningLabeling Data for ClassificationLabeling Data for RegressionExploring Image DataLabeling Image Data Using RulesLabeling Image Data Using Data AugmentationLabeling Text DataExploring Video DataLabeling Video DataExploring Audio DataLabeling Audio DataHands-On Exploring Data Labeling Tools

Unlock game development mastery with Unity 2023! This book takes you from conception to publication, equipping you with the key tools and techniques you need to bring your gaming vision to life.Key FeaturesLearn the fundamentals of Unity 2023 and create your dream gameExplore the world of augmented reality (AR) to create captivating mobile gamesPropel game performance and player experience to new heights with Data-Oriented Technology Stack (DOTS) insightsBook DescriptionTake your game development skills to the next level. Dive into the world of game creation confidently by elevating your game development skills. This book is your definitive and practical guide to unlocking the full potential of Unity 2023. Every chapter is designed to empower you to customize your own game, not just replicate what's in the book. This new edition includes immersive Augmented Reality (AR) experiences and performance optimization with Data-Oriented Technology Stack (DOTS).From Scene Creation to seamless Assert Integration, dive into C# programming and Visual Scripting with step-by-step guidance for beginners. Implement dynamic gameplay elements, including movement, spawning, physics, and health systems. Delve deeper into the magic of Game AI through sensor-driven decision-making with Finite State Machines (FSMs). Elevate your visuals with materials, shaders, textures, and particle systems. Optimize performance with Profiler insights and debug your game for a polished final product. Whether you're a beginner or a seasoned pro, this book will equip you with the skills needed to bring your game ideas to life.What you will learnBuild a game that includes gameplay, player and non-player characters, assets, animations, and moreLearn C# and Visual Scripting to customize player movements, the UI, and game physicsImplement Game AI to build a fully functional enemy capable of detecting and attackingUse Universal Render Pipeline (URP) to create high-quality visuals with UnityCreate win-lose conditions using design patterns such as Singleton and Event ListenersImplement realistic and dynamic physics simulations with the new Physics SystemWho this book is forBoth game and non-game developers looking to migrate or start building 3D games in Unity will find this Unity game development book useful. While you can still follow along without prior programming experience, knowing C# fundamentals will help you make the most of this book.Table of ContentsEmbark on Your Unity JourneyCrafting Scenes and Game ElementsFrom Blueprint to Reality: Building with Terrain and ProBuilderSeamless Integration: Importing and Integrating AssetsUnleashing the Power of C# and Visual ScriptingDynamic Motion: Implementing Movement and SpawningCollisions and Health: Detecting Collisions AccuratelyVictory or Defeat: Win and Lose ConditionsStarting Your AI Journey: Building Intelligent Enemies for Your GameMaterial Alchemy: Using URP and Shader Graph for Stunning VisualsCaptivating Visual Effects: Harnessing Particle Systems and Visual Effect GraphEnlightening Worlds: Illuminating Scenes with the Universal Render PipelineImmersive Realism: Achieving Fullscreen Effects with Post-ProcessingHarmonious Soundscapes: Integrating Audio and MusicInterface Brilliance: Designing User-Friendly UINext-Gen UI: Creating Dynamic Interfaces with UI ToolkitAnimated Realities: Creating Animations with Animator, Cinemachine, and Timeline(N.B. Please use the Look Inside option to see further chapters)

Harness the full power of Angular 17 with up-to-date tools and enterprise-level best practicesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Dive straight into the most relevant topics that will help you build large, complex, and high-performance web applicationsFind updated examples, projects, and an overview of the latest tools and updates - including Jest, Cypress, NgRx workspace, Apollo GraphQL, and Angular Dev ToolsGet to grips with reactive code and learn how to resolve potential issues before they crop upBook Description:If you're looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery.In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular.You'll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You'll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs.You'll cover modern tools like RxAngular, Qwik, and Signals. You'll construct master/detail views using data tables and NgRx for state management. You'll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams.By the end of this book, you'll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly.What You Will Learn:Minimalist, value-first approach to delivering web appsHow standalone components, services, providers, modules, lazy loading, and directives work in AngularManage your app's data reactivity using Signals or RxJSState management for your Angular apps with NgRxAngular ecosystem to build and deliver enterprise applicationsAutomated testing and CI/CD to deliver high quality appsAuthentication and authorizationBuilding role-based access control with REST and GraphQLWho this book is for:This book is for mid-to-senior developers looking to gain mastery by learning how to write, test, and deploy Angular in an enterprise environment.Working experience with JavaScript is a prerequisite, and a familiarity with TypeScript and RESTful APIs will help you understand the topics covered in this book more effectively

Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainabilityKey FeaturesMaster Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recoveryBuild your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and complianceLearn how to manage Secrets through real-world cases, strengthening your applications' security posturePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes.Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you'll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions.Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution.By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learnExplore Kubernetes Secrets, related API objects, and CRUD operationsUnderstand the Kubernetes Secrets limitations, attack vectors, and mitigation strategiesExplore encryption at rest and external secret storesBuild and operate a production-grade solution with a focus on business continuityIntegrate a Secrets Management solution in your CI/CD pipelinesConduct continuous assessments of the risks and vulnerabilities for each solutionDraw insights from use cases implemented by large organizationsGain an overview of the latest and upcoming Secrets management trendsWho this book is forThis handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path-from foundations to implementation-with a security-first mindset. You'll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.Table of ContentsUnderstanding Kubernetes Secret ManagementWalking through Kubernetes Secret Management ConceptsEncrypting secrets in transit and at restDebugging and Troubleshooting Kubernetes SecretsSecurity, Auditing and ComplianceDisaster Recovery and BackupsChallenges and Risk for Managing Secrets in Kubernetes Production EnvironmentExploring Secret Storage on AWSExploring Secret Storage on Azure(N.B. Please use the Look Inside option to see further chapters)

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a professional levelSecure the quality of your machine learning pipeline at runtimeApply your knowledge to natural languages, programming languages, and imagesBook DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products.The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you'll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.Towards the end, you'll address the most challenging aspect of large-scale machine learning systems - ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began - large-scale machine learning software.What you will learnIdentify what the machine learning software best suits your needsWork with scalable machine learning pipelinesScale up pipelines from prototypes to fully fledged softwareChoose suitable data sources and processing methods for your productDifferentiate raw data from complex processing, noting their advantagesTrack and mitigate important ethical risks in machine learning softwareWork with testing and validation for machine learning systemsWho this book is forIf you're a machine learning engineer, this book will help you design more robust software, and understand which scaling-up challenges you need to address and why. Software engineers will benefit from best practices that will make your products robust, reliable, and innovative. Decision makers will also find lots of useful information in this book, including guidance on what to look for in a well-designed machine learning software product.Table of ContentsMachine Learning Compared to Traditional SoftwareElements of a Machine Learning Software SystemData in Software Systems - Text, Images, Code, FeaturesData Acquisition, Data Quality and NoiseQuantifying and Improving Data PropertiesTypes of Data in ML SystemsFeature Engineering for Numerical and Image DataFeature Engineering for Natural Language DataTypes of Machine Learning Systems - Feature-Based and Raw Data Based (Deep Learning)Training and evaluation of classical ML systems and neural networksTraining and evaluation of advanced algorithms - deep learning, autoencoders, GPT-3Designing machine learning pipelines (MLOps) and their testingDesigning and implementation of large scale, robust ML software - a comprehensive exampleEthics in data acquisition and management(N.B. Please use the Look Inside option to see further chapters)

Take complete control of all your image-editing ambitions using this beautifully illustrated, easy-to-understand, jargon-free guide on Photoshop Elements 2024 packed with best practices and expert insights.Key FeaturesComprehensive coverage of Adobe Photoshop Elements 2024, including new AI-powered tools and advanced featuresPractical guidance on photo organization, editing, and sharing, with an emphasis on creative and professional techniquesRich, illustrative content with updated examples, tutorials, and mini creative projectsBook DescriptionDive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels.It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family.Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques-create the perfect picture or imaginative fantasy illustration. You'll also learn the online realms of animation, video creation, and third-party plug-ins. By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence.What you will learnMaster new features in Photoshop Elements 2024, including AI-powered tools and one-click fixes on mobileCreate captivating photo collages, digital paintings, and graphic designsEfficiently organize your photo collections for easy access and managementEnhance your social media presence with professionally edited photos and artworksEmploy advanced layer techniques for more powerful and immersive illustrationsGain comprehensive knowledge to become a proficient Photoshop Elements userWho this book is for"Mastering Adobe Photoshop Elements - 6th Edition" is perfect for photographers of all skill levels - from hobbyists to professionals. Whether you are new to photo editing or looking to upgrade your skills with the latest Photoshop Elements features, this book offers valuable insights and guidance.Table of ContentsPhotoshop Elements Features OverviewSetting Up Photoshop Elements from ScratchThe Basics of Image EditingGetting Started with Simple SolutionsEasy creative ProjectsAdvanced Techniques: Transformations, Layers, Masking and Blend ModesAdvanced Techniques: Retouching, Selections, and TextAdditional Tools and FeaturesAdvanced Drawing and Painting TechniquesExporting the Finished Work Online - web and bloggingTroubleshooting and Additional TechniquesFeature Appendix

Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environmentKey FeaturesChoose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirementsOptimize your security posture with expert techniques for in-depth cloud security insightsImprove your security compliance score by adopting a secure-by-design approach and implementing security automationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that'll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures.The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you'll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting.As you progress, you'll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You'll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments.By the end of this book, you'll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learnFind out how to deploy and onboard cloud accounts using CSPM toolsUnderstand security posture aspects such as the dashboard, asset inventory, and risksExplore the Kusto Query Language (KQL) and write threat hunting queriesExplore security recommendations and operational best practicesGet to grips with vulnerability, patch, and compliance management, and governanceFamiliarize yourself with security alerts, monitoring, and workload protection best practicesManage IaC scan policies and learn how to handle exceptionsWho this book is forIf you're a cloud security administrator, security engineer, or DevSecOps engineer, you'll find this book useful every step of the way-from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.Table of ContentsCloud Security Fundamentals Understanding CSPM and the Threat LandscapeCSPM Tools and FeaturesCSPM Tool Selection Deploying the CSPM ToolOnboarding Cloud AccountsOnboarding ContainersExploring Environment SettingsExploring Cloud Asset InventoryDashboard OverviewMajor Configuration RisksInvestigating Threats with Query Explorers and KQL(N.B. Please use the Look Inside option to see further chapters)

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey Features:- Learn practical data science combined with data theory to gain maximum insights from data- Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models- Explore actionable case studies to put your new skills to use immediately- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.What You Will Learn:- Master the fundamentals steps of data science through practical examples- Bridge the gap between math and programming using advanced statistics and ML- Harness probability, calculus, and models for effective data control- Explore transformative modern ML with large language models- Evaluate ML success with impactful metrics and MLOps- Create compelling visuals that convey actionable insights- Quantify and mitigate biases in data and ML modelsWho this book is for:If you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.Table of Contents- Data Science Terminology- Types of Data- The Five Steps of Data Science- Basic Mathematics- Impossible or Improbable - A Gentle Introduction to Probability- Advanced Probability- What are the Chances? An Introduction to Statistics- Advanced Statistics- Communicating Data- How to Tell if Your Toaster is Learning - Machine Learning Essentials- Predictions Don't Grow on Trees, or Do They?- Introduction to Transfer Learning and Pre-trained Models- Mitigating Algorithmic Bias and Tackling Model and Data Drift- AI Governance- Navigating Real-World Data Science Case Studies in Action

Master Salesforce DevOps while exploring deployment, packages, Git workflows, and organizational monitoring using third-party tools such as Salesforce DX, GitHub, Jenkins, Gearset, and CopadoKey Features:Learn to build a DevOps culture to mitigate project risks and boost return on investment (ROI)Delve into the principles of DevOps and how to apply them in Salesforce for maximum efficiencyExplore Salesforce DevOps tools, with examples and strategies for building a robust DevOps stackPurchase of the print or Kindle book includes a free PDF eBookBook Description:As the Salesforce Platform evolves into an increasingly complex landscape, architects face a growing demand for advanced solutions. The key to successful Salesforce projects lies in effective DevOps practice, and this book helps you achieve just that by offering strategic and practical insights into Salesforce components.The book starts by cultivating a DevOps mindset, focusing on collaboration, coordination, and communication, and learning how to efficiently demonstrate governance, visibility, and accountability. Building upon this architectural foundation, you'll delve into tools and techniques to plan your strategy using the capabilities of SFDX. Once you've gotten to grips with Salesforce packaging, you'll learn how to build a CI/CD stack with freely available software and configure it for automated change delivery. You'll then address the operational concerns of a mature DevOps process as you explore topics such as ticket management, backups, change monitoring, and data seeding-essential for maintaining a clean and healthy Salesforce org. Finally, you'll learn about the ecosystem of third-party solutions, which provide out-of-the-box capabilities to accelerate your Salesforce DevOps journey.By the end of this book, you'll have demystified Salesforce DevOps, empowering you to deliver Salesforce projects with the expertise of a DevOps professional.What You Will Learn:Grasp the fundamentals of integrating a DevOps process into Salesforce project deliveryMaster the skill of communicating the benefits of Salesforce DevOps to stakeholdersRecognize the significance of fostering a DevOps culture and its impact on Salesforce projectsUnderstand the role of metrics in DevOps architecture within Salesforce environmentsGain insights into the components comprising a Salesforce DevOps toolchainDiscover strategies for maintaining a healthy Salesforce org with a variety of supporting DevOps toolsWho this book is for:If you are a Salesforce architect or senior developer looking to bring DevOps best practices to your projects, this book is for you. To learn from this book, you should have a strong familiarity with Salesforce platform development both in code and low-code, understand concepts such as metadata, JSON, and XML, and feel at ease with command-line operations.

Level up your career by learning best practices for managing the data quality and integrity of your financial dataKey Features:Accelerate data integrity management using artificial intelligence-powered solutionsLearn how business intelligence tools, ledger databases, and database locks solve data integrity issuesFind out how to detect fraudulent transactions affecting financial report integrityBook Description:Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations.The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases.After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What You Will Learn:Develop a customized financial data quality scorecardUtilize business intelligence tools to detect, manage, and resolve data integrity issuesFind out how to use managed cloud-based ledger databases for financial data integrityApply database locking techniques to prevent transaction integrity issues involving finance dataDiscover the methods to detect fraudulent transactions affecting financial report integrityUse artificial intelligence-powered solutions to resolve various data integrity issues and challengesWho this book is for:This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it'll help you grasp the more advanced topics covered in this book.

Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate dataKey FeaturesTransform data into a clean and trusted source of information for your organization using ScalaBuild streaming and batch-processing pipelines with step-by-step explanationsImplement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD)Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You'll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You'll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learnSet up your development environment to build pipelines in ScalaGet to grips with polymorphic functions, type parameterization, and Scala implicitsUse Spark DataFrames, Datasets, and Spark SQL with ScalaRead and write data to object storesProfile and clean your data using DeequPerformance tune your data pipelines using ScalaWho this book is forThis book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies. Table of ContentsScala Essentials for Data EngineersEnvironment SetupAn Introduction to Apache Spark and Its APIs - DataFrame, Dataset, and Spark SQLWorking with DatabasesObject Stores and Data LakesUnderstanding Data TransformationData Profiling and Data QualityTest-Driven Development, Code Health, and MaintainabilityCI/CD with GitHubData Pipeline OrchestrationPerformance TuningBuilding Batch Pipelines Using Spark and ScalaBuilding Streaming Pipelines Using Spark and Scala

Learn to design your own programming language in a hands-on way by building compilers, using preprocessors, transpilers, and more, in this fully-refreshed second edition, written by the creator of the Unicon programming language.Purchase of the print or Kindle book includes a free PDF eBookKey Features- Takes a hands-on approach; learn by building the Jzero language, a subset of Java, with example code shown in both the Java and Unicon languages- Learn how to create parsers, code generators, scanners, and interpreters- Target bytecode, native code, and preprocess or transpile code into a high-level languageBook DescriptionThere are many reasons to build a programming language: out of necessity, as a learning exercise, or just for fun. Whatever your reasons, this book gives you the tools to succeed.You'll build the frontend of a compiler for your language and generate a lexical analyzer and parser using Lex and YACC tools. Then you'll explore a series of syntax tree traversals before looking at code generation for a bytecode virtual machine or native code. In this edition, a new chapter has been added to assist you in comprehending the nuances and distinctions between preprocessors and transpilers. Code examples have been modernized, expanded, and rigorously tested, and all content has undergone thorough refreshing. You'll learn to implement code generation techniques using practical examples, including the Unicon Preprocessor and transpiling Jzero code to Unicon. You'll move to domain-specific language features and learn to create them as built-in operators and functions. You'll also cover garbage collection.Dr. Jeffery's experiences building the Unicon language are used to add context to the concepts, and relevant examples are provided in both Unicon and Java so that you can follow along in your language of choice.By the end of this book, you'll be able to build and deploy your own domain-specific language.What you will learn- Analyze requirements for your language and design syntax and semantics.- Write grammar rules for common expressions and control structures.- Build a scanner to read source code and generate a parser to check syntax.- Implement syntax-coloring for your code in IDEs like VS Code.- Write tree traversals and insert information into the syntax tree.- Implement a bytecode interpreter and run bytecode from your compiler.- Write native code and run it after assembling and linking using system tools.- Preprocess and transpile code into another high-level languageWho this book is forThis book is for software developers interested in the idea of inventing their own language or developing a domain-specific language. Computer science students taking compiler design or construction courses will also find this book highly useful as a practical guide to language implementation to supplement more theoretical textbooks. Intermediate or better proficiency in Java or C++ programming languages (or another high-level programming language) is assumed.

Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you'll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.With the groundwork in place, you'll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.As you advance through the chapters, you'll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.Armed with this comprehensive knowledge, you'll be able to implement MLOps workflows on the OpenShift platform proficiently.What you will learnBuild a solid foundation in key MLOps concepts and best practicesExplore MLOps workflows, covering model development and trainingImplement complete MLOps workflows on the Red Hat OpenShift platformBuild MLOps pipelines for automating model training and deploymentsDiscover model serving approaches using Seldon and Intel OpenVinoGet to grips with operating data science and machine learning workloads in OpenShiftWho this book is forThis book is for MLOps and DevOps engineers, data architects, and data scientists interested in learning the OpenShift platform. Particularly, developers who want to learn MLOps and its components will find this book useful. Whether you're a machine learning engineer or software developer, this book serves as an essential guide to building scalable and efficient machine learning workflows on the OpenShift platform.Table of ContentsIntroduction to MLOps and OpenShiftProvisioning an MLOps platform in the CloudBuilding Machine Learning ModelsEmbedding ML Models into the ApplicationsDeploying ML Models as a ServiceOperating ML workloadsBuilding a face detector using the Red Hat ML Platform

Follow a step-by-step roadmap to developing essential competencies in network architecture design, relationship management, systems, and services, coupled with certification guidance and expert tipsKey Features- Grasp the big picture of information technology infrastructure to become a successful network architect- Overcome challenges to improve network performance and configuration management- Advance your career by improving your skills using real-life examples and practical advice from an industry expert- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionBecoming a network architect is challenging-it demands hands-on engineering skills, collaboration with internal teams and C-Suite stakeholders, as well as adeptly managing external entities like vendors and service providers. The author taps into his extensive background in IT and security to help you gain a detailed understanding of the network architect's role and guide you in evolving into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders.Starting with a clear definition of the network architect's role, this book lays out a roadmap and discusses the attributes and mindset for success. You'll explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. You'll also gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position.By the end of this book, you'll be armed with essential concepts, techniques, and newfound skills to pursue a career as a network architect.What you will learn- Examine the role of a network architect- Understand the key design makers in an organization- Choose the best strategies to meet stakeholder needs- Be well-versed with networking concepts- Prepare for a network architect position interview- Distinguish the different IT architects in an organization- Identify relevant certification for network architects- Understand the various de facto network/fabric architect models used todayWho this book is forThis book is for network engineers and technicians aspiring to transition into the role of a network architect. Whether you are at the beginning of your journey or seeking guidance along the path, this book will support you with its deep coverage of key aspects such as design concepts, architectural requirements, relevant experience, certifications, and advanced education with a special emphasis on cloud best practices. A practical understanding of IT networking is necessary to get the most out of this book.Table of Contents- Understanding the Network Architect's Role- Network Architect in an Organization- Roadmap to Becoming a Network Architect- Attributes of a Network Architect- The Mindset of the Network Architect - the Principles of Design- Foundations of Network Architect - Part 1: Route/Switch- Foundations of Network Architecture - Part 2: Network Services- Foundations of Network Automation- Paradigm Shift to Cloud Computing- Preparing for Certifications and Cracking the Job Interview- The Skills to Become a Better Network Architect and Overcome Daily Challenges- Additional Information and Recommended Books

Die Autorin beschreibt ihr dunkles Erlebnis im Internet, bei dem sie innert kurzer Zeit fast ihr ganzes Vermögen verloren hat. Offen und schonungslos erzählt sie ihre Geschichte, wie die Betrüger sie manipuliert und in die Irre geführt haben. Aus ihrem Erlebnis hat sie ihre Lehren gezogen und berät heute Geschädigte und ihre Familien.Es sind Milliarden, die weltweit im World Wide Web von den Betrügerbanden mit ganz verschiedenen Maschen umgesetzt werden. Die Zunahme von Onlinebetrug ist besorgniserregend, und die genaue Dunkelziffer bleibt unbekannt. Und es wird immer schwieriger, das volle Ausmaß dieser Bedrohung zu quantifizieren. Die Bandbreite betrügerischer Methoden reicht von Phishing und Identitätsdiebstahl bis hin zu komplexen Online-Betrugsmanövern.Den Behörden immer mindestens zwei Schritte voraus, verstecken sich die Betrüger in sämtlichen Nischen und Ecken des World Wide Web, stets darauf bedacht, ahnungslose Opfer zu finden. Es ist von entscheidender Bedeutung, sich bewusst zu machen, dass die Bedrohungen allgegenwärtig sind, und entsprechende Vorsichtsmaßnahmen zu ergreifen. Selbst in den scheinbar vertrauenswürdigsten Umgebungen können Gefahren lauern, weshalb es unabdingbar ist, wachsam zu bleiben und die eigene Online-Sicherheit als Priorität zu betrachten.

This book presents various concepts and applications related to risk-conscious operations management. It also provides an overview of the risk-based engineering ¿ fundamental to the concept of risk-conscious operations management. It presents the reliability concept to support Dependency Modelling, which includes hardware systems structures and components for reliability improvement and risk reduction. The book further develops and builds attributes and model for risk-conscious culture ¿ critical to characterize operational approach to risk and presents human factor modelling, where it works on developing an approach for human error precursor analysis. This book will be useful for students, researchers, academicians and professionals working on identifying risk and reliability issues in complex safety and mission critical systems. It will also be beneficial for industry risk-and-reliability experts and operational safety staff working in the complex engineering systems.

"Ausgezeichnet", "eins a", "grandios", "tipptopp", "virtuos" - formulieren Sie kreativ und treffend mit dem "Duden-Synonymwörterbuch", der umfangreichsten Darstellung der sinnverwandten Wörter des Deutschen. Die neue Auflage wurde aktualisiert und der Wortschatz erheblich erweitert.Von "salopp" über "dichterisch" zu "gehoben": Rund 300 000 Synonyme mit differenzierten stilistischen, fachsprachlichen, regionalen und zeitlichen Zuordnungen zeigen Ihnen das gesamte Spektrum der deutschen Sprache. Hinweise bei brisanten Wörtern unterstützen Sie zusätzlich dabei, immer den richtigen Ton zu treffen.Buchkäufer erhalten den kompletten Inhalt auch als Programm "Duden-Bibliothek Express" für das einfache Nachschlagen am Computer für 9.- Euro (Downloadcode im Buch).