Computer und IT
Julia Quick Syntax Reference
Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages.This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. At a more applied level, you will learn how to use Julia packages for data analysis, numerical optimization, symbolic computation, and machine learning, and how to present your results in dynamic documents.The Second Edition delves deeper into modules, environments, and parallelism in Julia. It covers random numbers, reproducibility in stochastic computations, and adds a section on probabilistic analysis. Finally, it provides forward-thinking introductions to AI and machine learning workflows using BetaML, including regression, classification, clustering, and more, with practical exercises and solutions for self-learners.WHAT YOU WILL LEARN* Work with Julia types and the different containers for rapid development* Use vectorized, classical loop-based code, logical operators, and blocks* Explore Julia functions: arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts* Build custom structures in Julia* Use C/C++, Python or R libraries in Julia and embed Julia in other code.* Optimize performance with GPU programming, profiling and more.* Manage, prepare, analyse and visualise your data with DataFrames and Plots* Implement complete ML workflows with BetaML, from data coding to model evaluation, and more.WHO THIS BOOK IS FORExperienced programmers who are new to Julia, as well as data scientists who want to improve their analysis or try out machine learning algorithms with Julia.Antonello Lobianco, PhD is a research engineer employed by a French Grande É cole (polytechnic university). He works on the biophysical and economic modelling of the forest sector and is responsible for the lab models portfolio. He does programming in C++, Perl, PHP, Visual Basic, Python, and Julia. He teaches environmental and forest economics at undergraduate and graduate levels and modelling at PhD level. For a few years, he has followed the development of Julia as it fits his modelling needs. He is the author of a few Julia packages, particularly on data analysis and machine learning (search sylvaticus on GitHub).Part 1. Language Core.- 1. Getting Started.- 2. Data Types and Structures.- 3. Control Flow and Functions.- 4. Custom Types.- E1: Shelling Segregation Model - 5. Input – Output.- 6. Metaprogramming and Macros.- 7. Interfacing Julia with Other Languages.- 8. Efficiently Write Efficient Code. - 9 Parallel Computing in Julia - Part 2. Packages Ecosystem.- 10. Working with Data.- 11. Scientific Libraries.- E2: Fitting a forest growth model - 12 – AI with Julia – E3. Predict house values - 13. Utilities. Appendix: Solutions to the exercises.
Natural Language Processing for Software Engineering
DISCOVER HOW NATURAL LANGUAGE PROCESSING FOR SOFTWARE ENGINEERING CAN TRANSFORM YOUR UNDERSTANDING OF AGILE DEVELOPMENT, EQUIPPING YOU WITH ESSENTIAL TOOLS AND INSIGHTS TO ENHANCE SOFTWARE QUALITY AND RESPONSIVENESS IN TODAY’S RAPIDLY CHANGING TECHNOLOGICAL LANDSCAPE.Agile development enhances business responsiveness through continuous software delivery, emphasizing iterative methodologies that produce incremental, usable software. Working software is the main measure of progress, and ongoing customer collaboration is essential. Approaches like Scrum, eXtreme Programming (XP), and Crystal share these principles but differ in focus: Scrum reduces documentation, XP improves software quality and adaptability to changing requirements, and Crystal emphasizes people and interactions while retaining key artifacts. Modifying software systems designed with Object-Oriented Analysis and Design can be costly and time-consuming in rapidly changing environments requiring frequent updates. This book explores how natural language processing can enhance agile methodologies, particularly in requirements engineering. It introduces tools that help developers create, organize, and update documentation throughout the agile project process. RAJESH KUMAR CHAKRAWARTI, PHD, is a dean and professor in the Department of Computer Science and Engineering at Sushila Devi Bansal College, Bansal Group of Institutions, India. He has over 20 years of professional experience in academia and industry. Additionally, he has organized and attended over 200 seminars, workshops, and conferences and has published over 100 research papers and book chapters in nationally and internationally revered publications. RANJANA SIKARWAR is currently pursuing a PhD from Amity University, Gwalior. She completed her Bachelor of Engineering in 2006 and Master of Technology in Computer Science and Engineering in 2015. Her research interests include social network analysis, graph mining, machine learning, Internet of Things, and deep learning. SANJAYA KUMAR SARANGI, PHD, is an adjunct professor and coordinator at Utkal University with over 23 years of experience in the academic, research, and industry sectors. He has a number of publications in journals and conferences, has authored many textbooks and book chapters, and has more than 30 national and international patents. He is an active member and life member of many associations, as well as an editor, technical program committee member, and reviewer in reputed journals and conferences. He has dedicated his career to advancing information and communication technology to enhance and optimize worldwide research and information dissemination, leading to improved student learning and teaching methods. SAMSON ARUN RAJ ALBERT RAJ, PHD, is an assistant professor and placement coordinator in the Division of Computer Science and Engineering, School of Computer Science and Technology, Karunya Institute of Technology and Sciences, Tamil Nadu, India. His research is focused on smart city development using drone networks and energy grids with various applications, and his areas of expertise include wireless sensor networks, vehicular ad-hoc networks, and intelligent transportation systems. SHWETA GUPTA is an assistant professor in the Computer Science and Engineering Department at Medicaps University, Indore (M.P.), India. She focuses on natural language processing, data mining, and machine learning. She aims to close the knowledge gap between theory and real-world applications in the tech sector through her passion for research and teaching. Her approach centers on encouraging creativity and motivating students to strive for technological excellence. KRISHNAN SAKTHIDASAN SANKARAN, PHD, is a professor in the Department of Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. He has been a senior member of the Institute of Electrical and Electronics Engineers for the past ten years and has published more than 70 papers in refereed journals and international conferences. He has also published three books to his credit. His research interests include image processing, wireless networks, cloud computing, and antenna design. ROMIL RAWAT has attended several research programs and received research grants from the United States, Germany, Italy, and the United Kingdom. He has chaired international conferences and hosted several research events, in addition to publishing several research patents. His research interests include cybersecurity, Internet of Things, dark web crime analysis and investigation techniques, and working towards tracing illicit anonymous contents of cyber terrorism and criminal activities.
Windows 11 All-in-One For Dummies, 2nd Edition
A DEEP DIVE INTO THE WINDOWS, FOR BEGINNERS AND ADVANCED USERS ALIKEWindows 11 All-in-One For Dummies, 2nd Edition is your most thorough source of information on the world's #1 computer operating system. This 800+ page reference guides you through the art of navigating the Windows interface, setting up personal accounts, and digging into the menus, settings, and features that you need to become a power user. With this jargon-free guidebook, you've got access to tips, tricks, and how-tos from a Windows insider, including how to take advantage of artificial intelligence tools built into Windows. Discover how to get your apps working across multiple devices, manage your data, enhance your copy of Windows with apps and add-ons, and keep everything secure and running smoothly. This Dummies guide is packed with what you need to know to take control of your Windows experience.* Get started with Windows 11, customize your operating system, and learn your way around* Find, install, and manage third-party apps, so you can work and play how you want to* Share files and documents, backup your data online, and manage wi-fi connections* Discover how Microsoft's artificial intelligence tool, Copilot, makes working with Windows even easier.Windows 11 All-in-One For Dummies, 2nd Edition provides the deepest dive into Windows on the market. Customize and troubleshoot as needed, with 10 books in 1!
Teach Yourself VISUALLY Windows 11
A FULLY ILLUSTRATED, UP-TO-DATE, AND START-TO-FINISH GUIDE TO USING WINDOWS 11 DEVICESTired of tech books that tell you what to do but never actually show you how to use your latest devices? Then Teach Yourself VISUALLY Windows 11, 2nd Edition is for you. This book walks you through exactly how to get things done in Microsoft's newest Windows updates with crystal-clear, high-resolution screenshots and pictures that won't leave you scratching your head and wondering, “Why didn't that work?” Teach Yourself Visually Windows 11 is a complete, start-to-finish visual tour of Windows 11. It will take you from “What do I do first?” to Windows guru, one picture and instruction at a time. Looking for help on how to set up your Windows 11 tablet, laptop, or desktop computer for the first time? Teach Yourself Visually Windows 11 has got you covered with the visual interface explanations, Wi-Fi connection assistance, and Microsoft account setup directions you need to make that PC come alive. And that's just chapter one. Teach Yourself VISUALLY Windows 11 will also guide you through how to customize your PC, get connected to—and stay safe on—the web, message and email your friends and family, find specific files on your hard drive, check the weather forecast, secure your device against hackers and looky-loos, and pretty much everything else you can think of. You'll find:* Hundreds of hi-res, full-page images and screenshots that demonstrate basic and advanced Windows 11 tasks you'll use every day* Techniques for making your PC easier to use, including changing the font size, using your voice to active your computer, and more* Ways to share your photos, videos, voice notes, and messages with your loved ones* See Microsoft's new Copilot AI in action and use generated text and images in your documents, emails, and chatsTeach Yourself VISUALLY Windows 11 is the easiest, most intuitive, most fun, and most effective guide for everyone who prefers “show” over “tell” and who's ready to master their Windows 11 tablet, laptop, or desktop PC.
Microsoft 365 Access For Dummies
JOIN THE MILLIONS OF PEOPLE ALREADY USING MICROSOFT ACCESS AND BECOME A DATABASE POWER-USER IN NO TIME!In the newly revised edition of Microsoft Access For Dummies, professional database developer and Access extraordinaire Laurie Ulrich-Fuller walks you through the ins-and-outs of one of the world's most popular database platforms. This is the perfect beginner's guide to Microsoft Access, showing you how to create databases, extract data, create reports, and more. The author demonstrates a ton of tips, tricks, and best practices you can use immediately to create, maintain, and improve your databases. You'll also find:* Updates outlining edge browser controls in forms* Step-by-step guides explaining how to import, export, and edit data* Easy-to-follow query-writing tutorials to help you find the exact data you're looking for when you need itWhether you're a database novice or a data science whiz, Microsoft Access For Dummies has the info you need to supercharge your database skills. It's the perfect, how-to guide to get you up-to-speed on everything you need to know to get started with Microsoft's world-famous database app. LAURIE A. ULRICH is a professional author and technology educator who has also written books about Microsoft Office, including Excel, and about Adobe Photoshop. KEN COOK is an experienced database developer and author who has written on the subjects of Microsoft Access and Excel.
Microsoft 365 Outlook For Dummies
GET UP TO SPEED ON MICROSOFT'S WORLD-FAMOUS EMAILING, SCHEDULING, COLLABORATING, AND ORGANIZING SUPER-APPMicrosoft Outlook can do pretty much anything for you—short of cooking you a steak dinner. It can deliver and sort your email, filter out the junk, help you organize your life, send data to the cloud, sync up your various devices, and even integrate with iOS and Android. And in the latest edition of Microsoft Outlook For Dummies you'll learn how to do all of that, and more! Discover how to create automated mail-handling rules, translate messages into English or other languages, and share your calendar with other people. This latest edition even walks you through each of the four different versions of Outlook and their ideal use cases. You'll also find:* Straightforward content that shows you how to draft and send emails, organize your calendars, and set up to-do lists, tasks, and reminders* Easy explanations of hidden and advanced features that very few people know about or use, setting you up to impress your coworkers!* Navigation tips for the Microsoft Outlook interfacePerfect for novices who are brand-new to Outlook, Microsoft Outlook For Dummies is also a must-buy resource for email veterans looking to pick up the latest tips for the newest versions of Microsoft's world-famous email software. FAITHE WEMPEN, M.A., is a Microsoft Office Master Instructor, an instructional designer, and the author of over 160 books—including Computers For Seniors For Dummies—that empower consumers to make the most of their personal computers and applications.
Microsoft 365 PowerPoint For Dummies
PRESENT LIKE A PRO, WITH THE TOP-SELLING POWERPOINT BOOK ON THE MARKETSince 1999, PowerPoint For Dummies has been giving readers a jargon-free way to compose compelling presentations. This update covers the latest release of Office and Office 365. Learn the basics of creating a slide deck in PowerPoint, then discover the dynamic features you can use to give your slides a bit of pizazz. Import data from other applications, collaborate in the cloud, and incorporate charts, graphics, and videos into your presentations. Plus, learn how to use Microsoft's new Copilot AI tool—integrated right into the application. Consider this book your first step to making a splash with PowerPoint!* Create your first PowerPoint slide deck and add presentation notes* Improve the design of your slides with templates and best-practice tips* Add animations, change your font style, and insert images and drawings* Share your presentation with audiences in a virtual settingNew and not-so-new PowerPoint users who need a guide to the basics of building a successful presentation will love this up-to-date, beginner-friendly book. DOUG LOWE is the information technology director for a civil engineering firm. He has been managing networks for more than 20 years and is the best-selling author of more than 30 For Dummies books, including Networking For Dummies and Networking All-in-One For Dummies.
Microsoft 365 Excel VBA Programming For Dummies
YOUR STEP-BY-STEP GUIDE TO DOING MORE WITH MICROSOFT EXCELFully updated for the latest version of Office 365, Excel VBA Programming For Dummies will take your Excel knowledge to the next level. With a little background in Visual Basic for Applications (VBA) programming, you can go well beyond basic spreadsheets and functions. Learn the coding basics and syntax you need to write simple or complex macros that can automate your routine Excel tasks. Become an Excel power user by automating data management, user forms, pivot tables, and beyond. When you use VBA to perform Excel operations, you can reduce errors, save time, and integrate with other Microsoft applications. This handy guide also teaches you how to control the security settings for your macros and save macros to use across files and apps. Plus, you'll get updated coverage of Copilot AI integration. Your spreadsheets are about to get much more powerful.* Get stared with VBA coding to create macros and automate tasks in Excel* Follow step-by-step instructions to write and execute your first scripts* Learn about the advanced functions available with the VBA language* Perform tasks faster and integrate excel with other Microsoft appsThis Dummies guide is right up your alley if you're an Excel user looking to learn some next-level features. Students and professionals alike will reap the benefits of automation, thanks to Excel VBA Programming For Dummies.DICK KUSLEIKA has more than 25 years’ experience helping Office users get the most out of Microsoft’s bestselling software. From online forums to blogs, books, and conferences, he delivers sound and straightforward advice to readers of all skill levels.
Microsoft 365 Word For Dummies
TAKE A DEEP DIVE INTO THE MOST POPULAR WORD PROCESSOR ON THE PLANETWord, Microsoft's powerful and popular word processor, is capable of extraordinary things. From template building to fancy formatting and even AI-powered editing and proofing, your copy of Word stands ready to help you supercharge your productivity and save you time and energy. You just need to learn how it's done. And, thanks to this easy-to-understand book, learning is the easy part!This latest edition of Word For Dummies is packed with the essentials you need to turn any old copy of the famous word processor into a document-creating, table-formatting, graphics-editing super app. You'll even learn how to customize your version of Microsoft Word so it's absolutely perfect for you, at home and at work. You'll also find out how to:* Navigate the Word interface and menus and figure out a ton of hotkey shortcuts* Edit, format, and comment documents to make team collaboration a breeze* Use the new Microsoft Copilot's AI capabilities to make Word even more powerfulSo, grab your copy of the latest edition of Word For Dummies today. It's perfect for casual users interested in upgrading their knowledge of this ubiquitous app as well as power users looking for the latest productivity tips and tricks. DAN GOOKIN wrote the first-ever For Dummies book in 1991. The author of several bestsellers, Dan’s books have been translated into 32 languages and have more than 11 million copies in print. Dan is the bestselling author of all editions of Word For Dummies.
Microsoft Copilot For Dummies
STRAIGHTFORWARD GUIDANCE ON THE AI TOOL THAT'S BUILT INTO WINDOWS, MICROSOFT 365, AND MOREMicrosoft is enhancing all its most widely used productivity software—including Windows and apps like Word and Excel—with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies!You'll discover how to write Copilot-friendly prompts, enhance output with integrated Copilot tools, and how to apply Copilot functions to project management and other specific tasks and disciplines. In the book, you'll find out how to:* Use text or your voice to prompt reliable results from Microsoft Copilot* Customize Microsoft Copilot to respond to your unique needs and demands* Add plug-ins to the Microsoft Copilot service to extend its functionality even moreLearn to supercharge your efficiency with Microsoft Copilot For Dummies. This book is perfect for professional and home users of Windows, Microsoft 365, and other Microsoft products and software who want to increase their productivity. Grab a copy today! CHRIS MINNICK is an accomplished author, teacher, and programmer. Minnick has authored or coauthored over 20 books, including titles in the For Dummies series. He has developed video courses for online training providers, and he teaches programming and machine learning to professional developers at leading companies globally. He is author of Coding with AI For Dummies and JavaScript All-in-One For Dummies.
Principles and Applications of Blockchain Systems
TECHNICAL THEORY, KEY TECHNOLOGIES, AND PRACTICAL APPLICATIONS FOR CONSORTIUM BLOCKCHAINS, WITH A SOLUTION TO THE CAP TRILEMMA PROBLEMPrinciples and Applications of Blockchain Systems provides a comprehensive introduction to consortium blockchains, including the physical, network, consensus, and contract layers, covering technical theory, key technologies, and practical applications. Beyond the technical side, this book visually showcases the application potential of consortium blockchains, with information on implementation cases in network management (Multi-Identifier System) and secure storage (Mimic Distributed Storage System). This book thoroughly addresses the CAP trilemma problem for consortium blockchains, a major barrier to scalability, by presenting a novel quantifiable impossibility triangle with a solution. Additionally, optimization techniques in consortium blockchains, such as P2P protocols for future networks and consensus algorithms, are discussed in detail. Written by two highly qualified academics with significant experience in the field, Principles and Applications of Blockchain Systems discusses topics such as:* Peer-to-peer networks in consortium blockchains, covering P2P network architecture and node discovery, data synchronization, and gossip protocols* Basic concepts of distributed consistency, including the SMR model in blockchain systems, assumptions for distributed networks, and the Byzantine Generals problem* Consensus mechanisms evolution process from voting-based, including PBFT, RPCA, SCP, and CoT; to proof-based including PoW, PoS, and PoX; finally optimized by fusion both voting-based and proof-based, including PoV, PPoV, HotStuff* Types of vulnerability for smart contracts, covering solidity code, EVM execution, and blockchain system layers* Historical trend of upgrade from electronic consensus to quantum consensusWith highly comprehensive coverage of the subject, Principles and Applications of Blockchain Systems serves as an ideal textbook for blockchain students and researchers, and a valuable reference book for engineers and business leaders involved in developing real-world blockchain systems. HUI LI, School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China. Li received the World Leading Internet Scientific and Technological Achievements award at the 6th World Internet Conference in 2019. His research interests include network architecture, cyberspace security, distributed storage, and blockchain. HAN WANG, School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
Der andere Sport
Nicht nur die Corona-Pandemie hat die Zuschauerzahlen im Esports beflügelt. Weltweit zählt das Publikum inzwischen rund 532 Millionen Menschen, und die Esports-Branche ist zu einer bedeutenden, profitablen Industrie herangewachsen. Im Mittelpunkt steht dabei die Esports-Community, deren Bedürfnisse die Branche stark prägen. Dieses Buch zielt darauf ab, die zentralen Strukturen dieser Zielgruppe zu beleuchten. Die zugrunde liegende Forschungsfrage lautet: „Können durch Künstliche Intelligenz neue Erkenntnisse über die Esports-Zielgruppe gewonnen und gesellschaftliche Strukturen offengelegt werden? Und falls ja, wie beeinflussen diese Ergebnisse das Esport-Marketing?“ Ziel ist es, innovative Ansätze im Esport-Marketing zu fördern, da das Wissen über die facettenreiche Esports-Zielgruppe bislang noch begrenzt ist.
Securing an Enterprise
Dive into the world of digital security and navigate its intricate landscape. In an era where digital reliance is ubiquitous, the need for robust cybersecurity measures has never been more pressing. Part of author Saurav Bhattacharya’s trilogy that covers the essential pillars of digital ecosystems—security, reliability, and usability—this book sheds light on the dynamic challenges posed by cyber threats, advocating for innovative security solutions that safeguard users while upholding their digital freedoms. Against the backdrop of rapid technological advancement and escalating cyber threats, this book addresses pressing security concerns at the forefront of our digital era. You’ll learn that trust plays a pivotal role in fostering a secure digital environment, enabling individuals and organizations to flourish without fear of malicious exploits. With transformative technologies like AI, blockchain, and quantum computing on the horizon, understanding and addressing cybersecurity fundamentals is essential for traversing the evolving digital landscape. Securing an Enterprise is your roadmap towards a future where technology aligns with humanity, fostering a more equitable, secure, and interconnected world. What You will Learn Explore advanced methodologies and innovative approaches to bolster cybersecurityUnderstand the potential impacts of the advancements on securityProvide strategic guidance on adapting to security changes to ensure sustainabilityTake a holistic approach in reviewing security Who This Book Is For Cybersecurity Professionals, Technology Developers and Engineers
Terraform Made Easy
Explore the transformative benefits of Infrastructure as Code (IaC) and understand why Terraform is the go-to tool for managing cloud infrastructure efficiently. This book is your ultimate guide to mastering Terraform on Google Cloud Platform, providing you with the tools and knowledge to automate and optimize your cloud infrastructure with confidence. You’ll start by reviewing the traditional approach to managing infrastructure, common challenges, and the benefits of adopting IaC and Terraform. You’ll then learn how to install Terraform on various operating systems and get familiar with its configuration language, basic commands, and syntax. The book then turns to provisioning infrastructures on GCP, managing secrets and enhancing security, and concludes with integrating collaboration and DevOps using Terraform. The power of cloud platforms is growing, providing numerous ways to manage infrastructures more efficiently. While the traditional approach to infrastructure management works well on a smaller scale, it becomes a challenge when dealing with complex or extensive projects. From installation and configuration to advanced provisioning and security practices, this book provides a clear, step-by-step approach to mastering Terraform. You will: * Explore providers, variables, modules, state management, and dependencies. * Master encryption methods and IAM policies. * Secure remote state management to protect sensitive data and ensure compliance. * Discover frameworks, tools, and best practices for testing IaC code. * Automate provisioning with CI/CD pipelines. * Provision a comprehensive suite of infrastructure resources on Google Cloud Platform. Explore the transformative benefits of Infrastructure as Code (IaC) and understand why Terraform is the go-to tool for managing cloud infrastructure efficiently. This book is your ultimate guide to mastering Terraform on Google Cloud Platform, providing you with the tools and knowledge to automate and optimize your cloud infrastructure with confidence. You’ll start by reviewing the traditional approach to managing infrastructure, common challenges, and the benefits of adopting IaC and Terraform. You’ll then learn how to install Terraform on various operating systems and get familiar with its configuration language, basic commands, and syntax. The book then turns to provisioning infrastructures on GCP, managing secrets and enhancing security, and concludes with integrating collaboration and DevOps using Terraform. The power of cloud platforms is growing, providing numerous ways to manage infrastructures more efficiently. While the traditional approach to infrastructure management works well on a smaller scale, it becomes a challenge when dealing with complex or extensive projects. From installation and configuration to advanced provisioning and security practices, this book provides a clear, step-by-step approach to mastering Terraform. What You Will Learn * Explore providers, variables, modules, state management, and dependencies. * Master encryption methods and IAM policies. * Secure remote state management to protect sensitive data and ensure compliance. * Discover frameworks, tools, and best practices for testing IaC code. * Automate provisioning with CI/CD pipelines. * Provision a comprehensive suite of infrastructure resources on Google Cloud Platform. Who This Book Is For Cloud engineers and architects, admin engineers, and CTOs familiar with programming languages and basic IT applications. Ivy Wang is a distinguished Data Scientist and Cloud Architect, celebrated for her deep expertise and impactful contributions to the tech industry. As an honored Google Women Techmakers Ambassador, Ivy's leadership and dedication to advancing technology have earned her widespread recognition. With a passion for innovation, Ivy excels in simplifying complex systems and automating processes in big data and AI projects. Her ability to turn intricate challenges into streamlined, efficient solutions consistently drives enhanced performance and operational excellence. Preface.- Chapter 1. Introduction to Infrastructure as Code (IaC) and Terraform.- Chapter 2. Getting started with Terraform.- Chapter 3: Key Concepts of Terraform.- Chapter 4. Provisioning Infrastructure on GCP.- Chapter 5. Managing Secrets, Enhancing Security, and Ensuring Resilience.- Chapter 6. Testing and Automation.
Neural Networks with TensorFlow and Keras
Explore the capabilities of machine learning and neural networks. This comprehensive guidebook is tailored for professional programmers seeking to deepen their understanding of neural networks, machine learning techniques, and large language models (LLMs). The book explores the core of machine learning techniques, covering essential topics such as data pre-processing, model selection, and customization. It provides a robust foundation in neural network fundamentals, supplemented by practical case studies and projects. You will explore various network topologies, including Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), and Large Language Models (LLMs). Each concept is explained with clear, step-by-step instructions and accompanied by Python code examples using the latest versions of TensorFlow and Keras, ensuring a hands-on learning experience. By the end of this book, you will gain practical skills to apply these techniques to solving problems. Whether you are looking to advance your career or enhance your programming capabilities, this book provides the tools and knowledge needed to excel in the rapidly evolving field of machine learning and neural networks. What You Will Learn * Grasp the fundamentals of various neural network topologies, including DNN, RNN, LSTM, VAE, GAN, and LLMs * Implement neural networks using the latest versions of TensorFlow and Keras, with detailed Python code examples * Know the techniques for data pre-processing, model selection, and customization to optimize machine learning models * Apply machine learning and neural network techniques in various professional scenarios Explore the capabilities of machine learning and neural networks. This comprehensive guidebook is tailored for professional programmers seeking to deepen their understanding of neural networks, machine learning techniques, and large language models (LLMs). The book explores the core of machine learning techniques, covering essential topics such as data pre-processing, model selection, and customization. It provides a robust foundation in neural network fundamentals, supplemented by practical case studies and projects. You will explore various network topologies, including Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), and Large Language Models (LLMs). Each concept is explained with clear, step-by-step instructions and accompanied by Python code examples using the latest versions of TensorFlow and Keras, ensuring a hands-on learning experience. By the end of this book, you will gain practical skills to apply these techniques to solving problems. Whether you are looking to advance your career or enhance your programming capabilities, this book provides the tools and knowledge needed to excel in the rapidly evolving field of machine learning and neural networks. What You Will Learn * Grasp the fundamentals of various neural network topologies, including DNN, RNN, LSTM, VAE, GAN, and LLMs * Implement neural networks using the latest versions of TensorFlow and Keras, with detailed Python code examples * Know the techniques for data pre-processing, model selection, and customization to optimize machine learning models * Apply machine learning and neural network techniques in various professional scenarios Who This Book Is For Data scientists, machine learning enthusiasts, and software developers who wish to deepen their understanding of neural networks and machine learning techniques Chapter 1: Introduction to Neural Networks.- Chapter 2: Using Tensors.- Chapter 3: How Machines Learn.- Chapter 4: Network Layers.- Chapter 5: The Training Process.- Chapter 6: Generative Models.- Chapter 7: Re-enforcement Learning.- Chapter 8: Using Pre-trained Networks. Philip Hua brings over 30 years of experience in investment, risk management, and IT. He has held senior positions as a partner at a hedge fund, led risk and IT departments at both large and boutique firms, and co-founded a successful fintech company. Alongside Dr. Paul Wilmott, he developed the CrashMetrics methodology, a crucial tool for evaluating severe market risk in portfolios. Philip holds a PhD in Applied Mathematics from Imperial College London, an MBA, and a BSc in Engineering.
Regenerating Learning
The perfect storm of learning provoked by generative AI is not just about learning how to use the technology to change human patterns of work and life. The technologies are re-orienting how we think we learn, how we communicate with each other, and the economic, social, political, creative, and ethical factors that inform how we navigate human-influenced existence on this planet. This book addresses the need for workers in any industry to take responsibility for learning how to best use generative AI systems in their unique contexts. Generative AI can navigate you towards learning, but also towards conducting research and teaching yourself things; to empower you in reimagining and reinventing how you learn while doing your work. Just like you can regenerate content persistently using generative AI systems, so too can you regenerate what and how you learn. Chapters will prepare you to inform and guide the small team you are a part of, or influence leadership to navigate the territory of leveraging generative AI systems responsibly. Besides pointing to all the more obvious benefits of learning how to use generative AI systems more effectively, this book provides use cases, research and educational theory to propose that interacting with the technology leads to a number of unanticipated learning outcomes. These outcomes challenge the very way in which we have come to learn, what we have learned, and what we may need to unlearn. As generative AI becomes increasingly integrated within workplace environments at some point or other we will each reach a critical point of having to decide if we are going to use the technology and how. The perfect storm of learning provoked by generative AI is not just about learning how to use the technology to change human patterns of work and life. The technologies are re-orienting how we think we learn, what we learn, what we need to learn, when and where we learn about knowledge production, how humans communicate with each other, the economic, social, political, creative, ethical and technological factors that inform how we navigate human influenced existence on this planet. The technology empowers you to reimagine and reinvent how you learn while doing your work. Just like you can regenerate content persistently using generative AI systems, so too can you regenerate what and how you learn. Regenerating Learning will help guide the small team you are a part of, or influence leadership to leverage generative AI systems responsibly. Besides pointing to all the more obvious benefits of learning how to use generative AI systems more effectively, this book provides use cases, research and educational theory to propose that interacting with the technology leads to a number of unanticipated learning outcomes. These outcomes challenge the very way in which we have come to learn, what we have learned, and what we may need to unlearn. As generative AI becomes increasingly integrated within workplace environments at some point or other we will each need to decide if we are going to use the technology and how. What You will Learn • Methods and techniques to re-learn how you learn through your interactions with different generative AI. • Strategic approaches to integrate generative AI within your workflows. • How to iterate, adapt, prototype and learn continuously with generative AI. • A variety of tools and approaches to reconcile your organization’s use of generative AI. • How to develop a road map towards the integration of AI systems within your organization. Who this Book Is For Creatives, team leaders, managers and leadership in different organizations; teams in collaborative and creative industries; managers and employees in organizational learning Patrick Parra Pennefather is an Associate Professor and Researcher at the University of British Columbia within the Faculty of Arts and the Emerging Media Lab. His research is focused on Collaborative Learning Practices, Emerging technology development, Research Creations, and GraphRAG research and development within the field of machine learning. Patrick also works with learning organizations and technology companies around the world to adopt generative AI strategically within complex and inter-dependent team environments, and design learning courses that meets the needs of diverse communities to aid the development of the next generation of technology designers and developers. 1: Ready Yourself to Learn From AI.- 2: Reprogram Your Learning Patterns.- 3: Regulate How You Learn.- 4: Re-Learn While Working.-5: Design Your Own Learning.- 6: Re-energize Doing.- 7: Re-Assess with Generative AI.- 8: Re-Adjust with AI.- 9: Prototype Learning.- 10: Re-Iterate How You Learn.- 11:Reconciling Using Generative AI.- 12: Remember the Algorithms.- 13: Continuously Improve and Learn with AI.- 14: Build Your Own Teaching Bots.- 15: Re-Invent Reinforcement.- 16: Learn with Other Bots.- 17: Transform Your Organization.- 18: Reclaim Your Creative Content.- 19: Fill in the Blanks.- 20: An Intelligent Conclusion.
Principles and Applications of Blockchain Systems
Technical theory, key technologies, and practical applications for consortium blockchains, with a solution to the CAP trilemma problem Principles and Applications of Blockchain Systems provides a comprehensive introduction to consortium blockchains, including the physical, network, consensus, and contract layers, covering technical theory, key technologies, and practical applications. Beyond the technical side, this book visually showcases the application potential of consortium blockchains, with information on implementation cases in network management (Multi-Identifier System) and secure storage (Mimic Distributed Storage System). This book thoroughly addresses the CAP trilemma problem for consortium blockchains, a major barrier to scalability, by presenting a novel quantifiable impossibility triangle with a solution. Additionally, optimization techniques in consortium blockchains, such as P2P protocols for future networks and consensus algorithms, are discussed in detail. Written by two highly qualified academics with significant experience in the field, Principles and Applications of Blockchain Systems discusses topics such as: Peer-to-peer networks in consortium blockchains, covering P2P network architecture and node discovery, data synchronization, and gossip protocolsBasic concepts of distributed consistency, including the SMR model in blockchain systems, assumptions for distributed networks, and the Byzantine Generals problemConsensus mechanisms evolution process from voting-based, including PBFT, RPCA, SCP, and CoT; to proof-based including PoW, PoS, and PoX; finally optimized by fusion both voting-based and proof-based, including PoV, PPoV, HotStuffTypes of vulnerability for smart contracts, covering solidity code, EVM execution, and blockchain system layersHistorical trend of upgrade from electronic consensus to quantum consensus With highly comprehensive coverage of the subject, Principles and Applications of Blockchain Systems serves as an ideal textbook for blockchain students and researchers, and a valuable reference book for engineers and business leaders involved in developing real-world blockchain systems. Foreword by Peter Major xv Foreword by Zhang Jing-an xvii Foreword by Yale li xix Foreword by Feng Han xxi Foreword by Ramesh Ramadoss xxv About the Author xxvii Preface xxix Acknowledgments xxxiii Introduction xxxv 1 Fundamentals of Blockchain 1 1.1 Introduction to Blockchain 1 1.2 Evolution of Blockchain 4 1.3 Blockchain-Layered Architecture 13 1.4 Theoretical Constraints of Blockchain Trilemma 16 1.5 Chapter Summary 26 Discussion Questions 27 References 28 2 Physical Topology in Blockchain 31 2.1 Basic Physical Topology of Computer Network 31 2.2 N-Dimensional Hypercube-Based Topology – Making it Possible to Reach CAP Guarantee Bound in Consortium Blockchain 40 2.3 Hierarchical Recursive Physical Topology of N-Dimensional Hypercube 43 2.4 Theoretical Analysis 45 2.5 Chapter Summary 54 Discussion Questions 54 References 56 3 P2P Network in Blockchain 59 3.1 P2P Network Structure 59 3.2 Node Discovery Method 64 3.3 Broadcast Protocol 69 3.4 Chapter Summary 83 Discussion Questions 83 References 84 4 Blockchain Consensus 87 4.1 Basic Concepts of Distributed Consistency 87 4.2 Byzantine Generals Problem 95 4.3 Voting-Based Consensus 100 4.4 Proof-Based Consensus 115 4.5 Consensus Integrating Proof and Voting 130 4.6 Evaluation and Analysis of Blockchain Consensus 155 4.7 Chapter Summary 160 Discussion Questions 163 References 164 5 Smart Contract and Its Security in Blockchain 169 5.1 Concept of Smart Contracts 169 5.2 Vulnerability in Smart Contracts 171 5.3 Taxonomy of Approaches to Detecting Vulnerabilities 175 5.4 Detection Tools for Smart Contract Vulnerability 186 5.5 Chapter Summary 195 Discussion Questions 196 References 197 6 Multi-Identifier System Based on Large-Scale Consortium Blockchain 203 6.1 Background Introduction and Requirement Analysis 203 6.2 System Architecture 204 6.3 Core Functions 215 6.4 Building a Community of Shared Future in Cyberspace with Sovereign Blockchain 222 6.5 Chapter Summary 236 Discussion Questions 237 References 238 7 Integrating Consortium Blockchain and Mimic Security in Distributed Storage System 241 7.1 Background Introduction and Requirement Analysis 241 7.2 Mimic Distributed Secure Storage System 249 7.3 Logging System in Mimic Storage Based on Consortium Blockchain 256 7.4 Chapter Summary 267 Discussion Questions 267 References 268 8 Quantum Blockchain and Its Potential Applications 271 8.1 Quantum Computing and Communication Theory 271 8.2 Quantum Blockchain – Solving Trilemma of Distributed Systems 308 8.3 Scalable Quantum Computer Network 322 8.4 Chapter Summary 342 Discussion Questions 343 References 344 9 Practical Application of Large-Scale Blockchain 347 9.1 Construction of Network Topology 347 9.2 P2P Broadcast Protocol 353 9.3 Solidity Language 357 9.4 Establishment of Blockchain Infrastructure 369 9.5 Smart Contract Security Detection 373 9.6 Chapter Summary 374 Discussion Questions 375 References 375 Index 377 Hui Li, School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China. Li received the World Leading Internet Scientific and Technological Achievements award at the 6th World Internet Conference in 2019. His research interests include network architecture, cyberspace security, distributed storage, and blockchain. Han Wang, School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
Wellness Management Powered by AI Technologies
This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book: Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges;Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes;Offers authoritative insights into current AI trends and future developments in healthcare;Features real-world case studies and examples showcasing successful AI integrations in various medical fields. Audience This book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers. Bharat Bhushan, PhD, is an assistant professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. He has published more than 150 research papers, contributed over 30 book chapters, and edited 20 books. Akib Khanday, PhD, is a post-doctoral research fellow in the Department of Computer Science and Software Engineering-CIT, United Arab Emirates University, Abu Dhabi, United Arab Emirates. His research interests include computational social sciences, natural language processing (NLP), and machine/deep learning. Khursheed Aurangzeb, PhD, is an associate professor in the Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. Over his 15 years of research, he has been involved in several projects related to machine/deep learning and embedded systems. His research interests focus on computer architecture, signal processing, and wireless sensor networks. Sudhir Kumar Sharma, PhD, is a professor and head of the Department of Computer Science at the Institute of Information Technology & Management, affiliated with GGSIPU, New Delhi, India. His research interests include machine learning, data mining, and security. He has published more than 60 research papers in various international journals and conferences and is the author of seven books in the fields of IoT, wireless sensor networks (WSN), and blockchain. Parma Nand, PhD, is the dean of the School of Engineering and Technology, Sharda University, Greater Noida, India. His expertise includes wireless and sensor networks, cryptography, algorithms, and computer graphics. He has published more than 85 papers in peer-reviewed journals and filed two patents.
Microsoft Teams For Dummies
Learn to be a good Teams player Microsoft Teams is everyone’s favorite app to use at work. Okay, maybe it’s not your favorite, but you’ll appreciate it more when you discover how it can make your workday easier. Microsoft® Teams™ For Dummies gets you started with the basics, then shows you how to make the most of chatting, file sharing, video conferencing, and beyond. Plus, you’ll get a rundown on Copilot—Microsoft’s new AI assistant—including how it can streamline your processes, summarize meetings, and generally make your life easier. Let’s get Team-ing! Inside… Using the Teams mobile appMaking and receiving callsImproving your Teams meetingsManaging teams and channelsUncovering Teams administrationHosting hybrid meetingsIntegrating other appsUsing Teams for small business Unlock the full power of Microsoft Teams, including brand-new AI functionality, with your friends at For Dummies Looking for a fast and easy guide to Microsoft Teams, the collaboration software used by millions of people and companies around the world? In Microsoft Teams For Dummies, 3rd edition, you'll find the must-know tips, hidden tricks, and handy hacks you need to help you rock your workday and get things done lightning-fast. You'll learn how to incorporate Teams into your everyday workflow and use functionality like chatting, file sharing, team organization, videochat, and more. You'll even learn how to use Microsoft's brand-new AI companion Copilot to help you improve your processes and productivity. You'll find out how to: Connect with colleagues and collaborate remotely, from across the hall or from the other side of the worldUse little-known Teams features to help you supercharge your productivity and get more done in a dayCustomize your Teams installation and make it work better for you and your teammates An engaging and effective roadmap to one of Microsoft's most popular apps, Microsoft Teams For Dummies is a must-read for everyone who uses—or wants to use—this powerful software at work or anywhere else. Grab a copy today! Rosemarie Withee is president of Portal Integrators, a Scrum-based software and services firm. Rosemarie has authored a number of books in the For Dummies series, including the most recent editions of Office 365 For Dummies and SharePoint For Dummies.
AI in Disease Detection
Comprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their dataIdentification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristicsAI’s role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenariosClinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field. Dr. Rajesh Singh, Professor, Electronics & Communication Engineering and Director, Research & Innovation, Uttaranchal University, India. Dr. Singh was featured among the top ten inventors in 2010 to 2020 by Clarivate Analytics in “India’s Innovation Synopsis” in March 2021. Dr. Anita Gehlot, Professor, Electronics & Communication Engineering and Head -Research and Innovation, Uttaranchal University, India. Dr. Navjot Rathour, Associate Professor, Electronics & Communication Engineering, Chandigarh University, Mohali, India. Dr. Shaik Vaseem Akram, Assistant Professor, Electronics & Communication Engineering, S R University, Telangana, India.
GIMP - Einstieg und Praxis (2. Auflg.)
GIMP – Praxisnaher Einstieg für Anfänger und Fortgeschrittene – klar, verständlich, visuell erklärt. In 2. Auflage aus Dezember 2024.GIMP ist eine der beliebtesten Open-Source-Programme für Bildbearbeitung. Dieses Buch hilft Ihnen, sich mit der optimierten Benutzeroberfläche und zahlreichen neuen Funktionen vertraut zu machen. Nach einer Einführung in die wichtigsten Werkzeuge und Funktionen setzen Sie Ihr Wissen direkt praktisch um: Verbessern Sie die Schärfe und den Kontrast Ihrer Fotos, entfernen Sie störende Elemente und bearbeiten Sie gezielt bestimmte Bildbereiche mit den Auswahlwerkzeugen. Für komplexere Anpassungen arbeiten Sie mit Ebenen, und dank Filtern und Effekten verleihen Sie Ihren Bildern einen völlig neuen Stil. Aus dem Inhalt:12 einfach nachvollziehbare Lektionen für beeindruckende Ergebnisse Einführung in Arbeitsoberfläche, Werkzeuge und Voreinstellungen Schnelle sowie anspruchsvolle Bildkorrekturen Effiziente Nutzung von Auswahlwerkzeugen Kreatives Arbeiten mit Ebenen, Filtern und Effekten Erstellung professioneller Schriftzüge Praktische Tastenkombinationen für alle zentralen Funktionen
Nachhaltige Künstliche Intelligenz
Die aus KI entstehenden Möglichkeiten sind immens. Speziell das maschinelle Lernen ist für viele deutsche Unternehmen mittlerweile kein Fremdwort mehr. In durchweg allen Branchen werden die Einsatzmöglichkeiten von trainierten Modellen evaluiert, die neue Geschäftsfelder entstehen lassen oder bestehende Abläufe optimieren. In der Euphorie werden von vielen Akteurinnen und Akteuren Nachhaltigkeitsaspekte vernachlässigt. Zum Beispiel kann das Training von KI-Algorithmen und der Betrieb der Systeme durchaus ressourcenintensiv sein kann. Die derzeitige Entwicklung zielt darauf ab, bestehende Modelle noch akkurater bzw. performanter zu machen. Dabei müssen Performance und Nachhaltigkeit von KI-Systemen kein Widerspruch sein.Dieses Buch verfolgt das Anliegen, die Chancen nachhaltiger KI-Ansätze darzustellen. Es wird detailliert auf Nachhaltigkeit in der IT, Nachhaltigkeit durch KI sowie auf Digitale Ethik eingegangen. Nicht alle 17 UN-Agenda 2030 Ziele werden behandelt, der Fokus liegt auf der ökologischen Nachhaltigkeit. Das Buch ist kein Theoriewerk. Es beinhaltet diverse konkrete Empfehlungen für zur direkten Anwendung für nachhaltigere KI-Projekte.Aus dem Inhalt: Einleitung und Problemstellung – 6 Problemstellung – 8 UN-Agenda 2030: 17 Nachhaltigkeitsziele und KI – 11 Aufbau des Buches – 14 Literatur – 16 Nachhaltigkeit in KI – 18 Deep Learning: Innovation oder ein wachsendes Problem? – 20 Technische Grundlagen – 23 Technische Möglichkeiten zur Reduzierung des Energieverbrauchs – 26 Lösungen für praktische Anwendungen – 29 Literatur – 32 Nachhaltigkeit durch KI – 33 Einleitung – 33 Stand der Forschung – 35 Typen von KI für Nachhaltigkeit – 40 Decision Trees – 40 Support Vector Machines – 42 K-Nearest Neighbor (KNN) – 43 Clustering – 44 Deep Learning und neuronale Netze – 45 Reinforcement Learning – 47 Few Shot Learning – 47 Long-Short-Term-Memory (LSTM) – 49 KI für (mehr) Nachhaltigkeit – 51 Use-Cases KI für Nachhaltigkeit – 58 Leitfaden für die KI-Implementierung im Unternehmen – 69 Phase 1 – Zielsetzung und Folgenabschätzung – 74 Phase 2 – Planung und Gestaltung – 74 Phase 3 – Vorbereitung und Implementierung – 75 Phase 4 – Evaluation und Anpassung – 78 Literatur – 78 Nachhaltigkeitsethik und Künstliche Intelligenz – 81 Ethische Implikationen der Nachhaltigkeit – 81 Ethische und nachhaltige Maßstäbe des Handelns – 82 Die Verantwortung von Unternehmen – 82 Digitale Ethik – 83 Freiwillige Standards vs. gesetzliche Regulierungen – 84 Freiwillige Standards – 84 Gesetzliche Regulierungen – 85 Digitale Ethik im Unternehmen – 86 Fazit – 88 Literatur – 88 Zusammenfassung und Ausblick – 91 Zusammenfassung – 91 Ausblick – 97
Cracking the Data Code
Why do we continue to struggle with data? With all the powerful tools we have in processing power, data tools, and computer programming, we still search for some elusive truth to pervasive problems. AI hallucinates, 'good data' that we started with is suddenly unintelligible, systems that should talk to each other seamlessly continually experience errors and need correction.What we fail to incorporate into our data world is the fact that DATA IS LANGUAGE and has entwined in that language its own code that does not get captured in databases, APIs, LLMs and the systems we use day in and day out. SO, HOW CAN WE CRACK THIS DATA CODE?By stepping back, we can incorporate the tools that already exist in applied linguistics used to crack the human language code into our approaches in how we tackle the data code challenge. Just because we call it DATA doesn’t mean that it doesn’t suffer from bias or the need for context. But by recognizing these linguistic challenges, and infusing that inside the data, we can create data code that can be cracked, data that tells us its biases, context, and purpose, and for who that data is actually useful to, and for whom it is not.If you are interested in data, and why understanding language and jargon can help you crack the data code, this book is for you. If you’ve had a data challenge and have struggled to find a way to understand it, the practical foundational principles inside can help you frame your problem in a different way. And in doing so, help you crack the data code.
Digitally Hijacked: The Age of Influence
In an age when digital media permeates every aspect of our lives, understanding its influence is more critical than ever. This book serves as a compass, guiding readers through the complexities of our interconnected world. From the moment we wake to a flurry of notifications to the late-night scrolling that often accompanies our downtime, we find ourselves enmeshed in a digital landscape that shapes our perceptions, relationships, and routines. The journey ahead will illuminate the dual-edged nature of technology--its ability to connect and empower as well as its potential to isolate and overwhelm. By examining the algorithms that curate newsfeeds and the social media platforms that redefine communication, this book unpacks the intricacies of modern digital life. But beyond the challenges lie opportunities; this book also highlights the ways in which digital media fosters social activism and creative expression, showcasing the remarkable power of collective voices and innovative ideas. Whether digital natives or just beginning to explore this expansive realm, readers will be equipped by this exploration with insights and tools to navigate the digital age thoughtfully. Discover how to harness technology's potential, ensuring it enriches rather than diminishes our lives. Muhammad Atique holds a PhD in digital governance and is a fellow of the Higher Education Academy (HEA-UK). With over fifteen years of experience in the media industry and academia, he specializes in digital media and culture, and technology adoption. His research provides valuable insights into contemporary media trends and the implications of emerging technologies.