Allgemein
Writing AI Prompts For Dummies
LEARN THE ART OF WRITING EFFECTIVE AI PROMPTS AND BREAK INTO AN EXCITING NEW CAREER FIELDWriting AI Prompts For Dummies gets you started on the path toward becoming an “AI psychologist” capable of getting all types of output from AI systems. This book walks you through the process of mining great results from leading platforms, so you can save time, solve problems, explore creative ideas, conduct research, and beyond. Even if you’re brand new to using AI chatbots, you’ll be able to follow the jargon-free explanations and instructions inside to learn how to ask questions and make requests in terms any AI can understand. Then, you can convert your new skill into greater productivity in your life, or even into a new career. Prompt engineering is a fast-growing career opportunity with six-figure salaries attached. Who knows? This Dummies guide could be your launchpad to a future as an AI whisperer.* Explore the top AI chatbots, creativity engines, and productivity tools* Learn how to write basic text prompts that generate concise, effective output* Create AI-generated photos and illustrations that match your vision* Save time writing code, designing websites, or conducting research When asked “Who needs to learn prompt engineering?” ChatGPT clarifies: professionals, creatives, educators, scientists, and entrepreneurs in many fields can benefit an enhanced ability to use AI productively. And for anyone working in AI, natural language processing, or related areas, Writing AI Prompts For Dummies is simply a must. STEPHANIE DIAMOND is a marketing professional and author or coauthor of more than two dozen books, including Digital Marketing All-in-One For Dummies and Facebook Marketing For Dummies. JEFFREY ALLAN is the Director of the Institute for Responsible Technology and Artificial Intelligence (IRT) at Nazareth University.
Topics in Artificial Intelligence Applied to Industry 4.0
TOPICS IN ARTIFICIAL INTELLIGENCE APPLIED TO INDUSTRY 4.0FORWARD THINKING RESOURCE DISCUSSING EMERGING AI AND IOT TECHNOLOGIES AND HOW THEY ARE APPLIED TO INDUSTRY 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as:* Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data * Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations * Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment * Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment. MAHMOUD RAGAB AL-REFAEY is a Professor of Data Science with the Information Technology Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia and the Mathematics Department, Faculty of Science, Al-Azhar University, Egypt. He obtained his PhD. from the faculty of Mathematics and Natural Sciences of the Christian-Albrechts-University at Kiel (CAU), Germany. AMIT KUMAR TYAGI is an Assistant Professor of Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India. Previously he has worked as Assistant Professor (Grade-2) and Senior Researcher at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India. He received his PhD. Degree in 2018 from Pondicherry Central University, India. ABDULLAH SAAD AL-MALAISE AL-GHAMDI is a Professor of Information Systems Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia and Information Systems Department, School of Engineering, Computing and Design, Dar Al-Hekma University, Jeddah, Saudi Arabia. He is the Secretary General of the Scientific Council at KAU. He received his PhD. degree in Computer Science, George Washington University, USA. SWETTA KUKREJA is Associate Professor in the Computer Science and Engineering, Amity University, Mumbai, India. She has more than 10 years of teaching and research experience.
Tidy First?
Unordentlicher Code ist ein Ärgernis und schwer zu lesen. In diesem praktischen Leitfaden demonstriert Kent Beck, Schöpfer von Extreme Programming, wann und wie Sie kleinere Aufräumarbeiten durchführen können, um Ihren Code zu optimieren und dabei die Gesamtstruktur Ihres Systems immer besser zu verstehen.Anstatt sich mit zu viel Aufräumen auf einmal zu überfordern, zeigt Kent Beck, wie Sie pragmatisch vorgehen. Sie lernen etwa, wie Sie eine Funktion mit vielen Codezeilen logisch in kleinere Stücke aufteilen. Und nebenbei verstehen Sie wichtige Aspekte der Theorie wie Kopplung, Kohäsion, abgezinste Zahlungsströme und Optionalität.Dieses Buch unterstützt Sie dabei:• die grundlegende Theorie zu verstehen, wie SoftwareDesign funktioniert und welche Kräfte darauf einwirken• unterschiedliche Auswirkungen bei Änderungen am Verhalten eines Systems und bei Änderungen an seiner Struktur einzuschätzen• Ihr Programmiererlebnis zu verbessern, indem Sie manchmal zuerst aufräumen und manchmal später• zu lernen, wie Sie große Veränderungen in kleinen, sicheren Schritten vornehmen• Softwareentwicklung als ein Pflegen menschlicher Beziehungen zu verstehenKent Beck ist Programmierer, Erfinder von Extreme Programming, Pionier im Bereich der Software Patterns, Mitautor von JUnit, Wiederentdecker der testgetriebenen Entwicklung und engagierter Beobachter von 3X: Explore/Expand/Extract. Beck ist – in der alphabetischen Reihenfolge – der erste Unterzeichner des Agilen Manifests. Er lebt in San Francisco, Kalifornien, und ist Chief Scientist bei Mechanical Orchard. Dort vermittelt er Entwicklerinnen und Entwicklern Fähigkeiten, die Geeks dabei helfen sollen, sich in der Welt sicher zu fühlen. Kents Website ist hier zu finden: https://www.kentbeck.com
Einstieg in Ethical Hacking
Penetration Testing und Hacking-Tools für die IT-Security. Erstauflage von Jürgen Ebner aus März 2024.Ethical Hacking spielt eine wesentliche Rolle für die IT-Sicherheit in Unternehmen. Mit diesem Buch lernen Sie, wie ein Angreifer zu denken, um die Systeme von Unternehmen vor Cyberangriffen zu schützen.Sie erfahren, welche gängigen Angriffe es gibt und wie Sie diese in einer sicheren Testumgebung durchführen, um Sicherheitslücken im System aufzuspüren. Hierzu richten Sie Kali Linux auf einer virtuellen Maschine ein und nutzen die zahlreichen integrierten Tools für verschiedene Angriffstechniken wie das Hacken von Passwörtern, Codeinjection, Social Engineering und mehr. Die notwendigen Grundlagen zu Netzwerken, Active Directory und Shell Scripting sind ebenfalls Bestandteil des Buches.Darüber hinaus erfahren Sie, wie ein professioneller Penetrationstest abläuft, welche Rahmenbedingungen dafür notwendig sind und welche Richtlinien eingehalten werden müssen, um legal und ethisch zu hacken.Über den Autor:Jürgen Ebner ist u.a. IT-Techniker und zertifizierter Datenschutz- und IT-Security-Experte. Bei der IT-Betreuung setzt er auf proaktive Services, um für mehr Sicherheit in den Unternehmen zu sorgen. Mit seinem IT-Unternehmen ICTE bietet er neben Managed Services vor allem Security Assessments und die Erarbeitung von Datenschutzkonzepten an.
Spring Boot 3 Recipes
Solve all your Spring Boot 3 micro-framework problems using complete, real-world Java-based code snippets and examples inspired by various problems and corresponding solutions to those problems . When you start a new project, you’ll be able to copy the code and configuration files from this book, and then modify them for your own specific software programming needs. This can save you a great deal of work over creating a project from scratch.Spring Boot 3 Recipes has been revised to include new features like the new Spring Native, newly repackaged Spring Data, Spring Kafka for messaging and more on Kubernetes/deployment than in the previous edition. It includes Java 17 long term support code and Jakarta EE 9+ code as a base for Spring Boot 3. This handy code reference takes advantage of these things as it introduces you to VMWare's Spring Boot 3 and Spring Native. Quickly, it dives into code snippets on how to apply and integrate SpringBoot 3 with the Spring MVC web framework, web sockets and WebFlux for the rapid development of web applications, web services, microservices and more.You'll also get solutions to common problems with data persistence, integrating Spring Boot with batch processing, algorithmic programming via Spring Batch, and much more. These enable you to enhance or round out your web applications or microservices with a data and/or transaction-tier to boot. Other recipes cover topics such as using and integrating Boot with Spring's enterprise services, Spring Integration, testing, monitoring and more.At the end of the book, you'll have the code snippets and packages to deploy your Spring Boot-created microservices or applications on a cloud platform like Amazon using the popular Kubernetes container. Finally, this code reference is a must have for your Spring library.WHAT YOU'LL LEARN* Get reusable code recipes and snippets for the Spring Boot 3 micro-framework * Discover how Spring Boot 3 integrates with other Spring APIs, tools, and frameworks* Access Spring MVC, web sockets and WebFlux for easier web development* Work with microservices for web services development and integration with your Spring Boot applications* Add persistence and a data tier seamlessly to make your Spring Boot web application do more* Integrate enterprise services via Spring Integration and Jakarta EE to create a more complex Java application using Spring BootWHO THIS BOOK IS FORThis book is for experienced Java and Spring software programmers, developers.MARTEN DEINUM is a submitter on the open source Spring Framework project. He is also a Java/software consultant working for Conspect. He has developed and architected software, primarily in Java, for small and large companies. He is an enthusiastic open source user and long-time fan, user, and advocate of the Spring Framework. He has held a number of positions, including Software Engineer, Development Lead, Coach, and also as a Java and Spring Trainer.1. Spring Boot Introduction.- 2. Spring Boot - Basics.- 3. Spring MVC.- 4. WebFlux.- 5. Spring Security.- 6.Spring Boot - Data Access.- 7. Java Enterprise Services.- 8. Spring Messaging.- 9. Spring Boot - Actuator.- 10.Spring Boot - Packing.
Building Generative AI-Powered Apps
Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production.The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included.By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business.WHAT YOU WILL LEARN* What is Generative AI?* What is ChatGPT and GPT4?* What are language models and diffusions models?* How do we deploy LangChain and HuggingFace?WHO THIS BOOK IS FORSoftware engineers with a few years of experience building applications in any language or infrastructureAARUSHI KANSAL is an experienced principal engineer. She has worked in a variety of technologies, including mobile development, Python, Go, and cloud, along with booming generative AI space. She has spearheaded AI initiatives in the workplace and regularly works on creative POCs in her spare time to stay at the top of the generative AI space.Chapter 1: Introduction to Generative AI.- Chapter 2: LangChain + AI.- Using Chains.- Chapter 3: AI + Embeddings.- Chapter 4: AI + Text at Scale.- Chapter 5: AI and Audio.- Chapter 6: Finetuning GPT.- Chapter 7: Monitoring.- Chapter 8: UI + UX.- Appendix A: .
Generative Art with JavaScript and SVG
This book introduces you to the exciting world of generative art (artwork that are solely or partially created with the use of an autonomous system) through the medium of SVG and JavaScript. More specifically, it will teach the use of Graphery SVG (gySVG), a JavaScript library that closely mirrors the SVG spec and makes scripting SVG very intuitive and enjoyable. Armed with gySVG, the reader will be taught tried and trusted techniques in producing generative imagery. Each chapter will build upon the previous one, and those completely new to programming will be given a primer to help them find their feet.Beginning with a simple generative sketch that illustrates, and then explains, fundamental programming concepts such as variables, data types, operators, loops, conditionals and functions - the reader will go on to explore the power of Scalable Vector Graphics, how to play with randomness and regularity, how to use noise to create organic variance, and how to make sketches interactive and dynamic. More advanced topics will then be tackled, such as paths, filter effects, trigonometry, shape packing, flow fields and fractals.It will be a fun journey, easy to follow, peppered with plenty of attractive sketches throughout. The goal will be to visually inspire readers with compelling examples of what’s possible - rather than bare-bones, make-do illustrations - thereby breathing life into the underlying theoretical concepts.WHAT YOU'LL LEARN:* Generative art is and its creative process* How to use the gySVG library locally with Node.js or online via Codepen* Consolidation of JavaScript fundamentals, using modern ES6+ syntax* Creating a variety of SVG shapes generatively* Creating iterative variations of sketches by randomizing parameters* Using noise to create organic variance* Creating complex SVG paths generatively* How to make sketchesinteractiveWHO IS IT FOR:Web developers and designers and creative coders with an interest in digital and generative art as well as artists who are interested in learning to code with JavaScript.DAVID MATTHEW is a web developer, designer and musician with over 11 years of industry experience who is passionate about generative art and web development, music visualization and in particular, SVG and the often untapped potential it offers.David blogs on topics including JavaScript, CSS WorldPress and creative coding and as a regular producer of generative art, he showcases his work on his Instagram page: instagram.com/davidmatthew_ie 1. The Beginner’s Path.- 2. A Programming Primer.- 3. All About SVG.- 4. Randomness and Regularity.- 5. The Need for Noise.- 6. The All-Powerful Path.- 7. Motion and Interactivity.- 8. Filter Effects.- 9. The Generative Way.
Azure Data Factory by Example
Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components.This edition, updated for 2024, includes the latest developments to the Azure Data Factory service:* Enhancements to existing pipeline activities such as Execute Pipeline, along with the introduction of new activities such as Script, and activities designed specifically to interact with Azure Synapse Analytics.* Improvements to flow control provided by activity deactivation and the Fail activity.* The introduction of reusable data flow components such as user-defined functions and flowlets.* Extensions to integration runtime capabilities including Managed VNet support.* The ability to trigger pipelines in response to custom events.* Tools for implementing boilerplate processes such as change data capture and metadata-driven data copying.WHAT YOU WILL LEARN* Create pipelines, activities, datasets, and linked services* Build reusable components using variables, parameters, and expressions* Move data into and around Azure services automatically* Transform data natively using ADF data flows and Power Query data wrangling* Master flow-of-control and triggers for tightly orchestrated pipeline execution* Publish and monitor pipelines easily and with confidenceWHO THIS BOOK IS FORData engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsoft’s Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operationsRICHARD SWINBANK is a data engineer and Microsoft Data Platform MVP. He specializes in building and automating analytics platforms using Microsoft technologies from the SQL Server stack to the Azure cloud. He is a fervent advocate of DataOps, with a technical focus on bringing automation to both analytics development and operations. An active member of the data community and keen knowledge-sharer, Richard is a volunteer, organizer, speaker, blogger, open source contributor, and author. He holds a PhD in computer science from the University of Birmingham (UK).1. Creating an Azure Data Factory Instance.- 2. Your First Pipeline.- 3. The Copy Data Activity.- 4. Expressions.- 5. Parameters.- 6. Controlling Flow.- 7. Data Flows.- 8. Integration Runtimes.- 9. Power Query in ADF.- 10. Publishing to ADF.- 11. Triggers.- 12. Change Monitoring.- 13. Tools and Other Services.
Effective Vulnerability Management
INFUSE EFFICIENCY INTO RISK MITIGATION PRACTICES BY OPTIMIZING RESOURCE USE WITH THE LATEST BEST PRACTICES IN VULNERABILITY MANAGEMENTOrganizations spend tremendous time and resources addressing vulnerabilities to their technology, software, and organizations. But are those time and resources well spent? Often, the answer is no, because we rely on outdated practices and inefficient, scattershot approaches. Effective Vulnerability Management takes a fresh look at a core component of cybersecurity, revealing the practices, processes, and tools that can enable today's organizations to mitigate risk efficiently and expediently in the era of Cloud, DevSecOps and Zero Trust. Every organization now relies on third-party software and services, ever-changing cloud technologies, and business practices that introduce tremendous potential for risk, requiring constant vigilance. It's more crucial than ever for organizations to successfully minimize the risk to the rest of the organization's success. This book describes the assessment, planning, monitoring, and resource allocation tasks each company must undertake for successful vulnerability management. And it enables readers to do away with unnecessary steps, streamlining the process of securing organizational data and operations. It also covers key emerging domains such as software supply chain security and human factors in cybersecurity.* Learn the important difference between asset management, patch management, and vulnerability management and how they need to function cohesively* Build a real-time understanding of risk through secure configuration and continuous monitoring* Implement best practices like vulnerability scoring, prioritization and design interactions to reduce risks from human psychology and behaviors* Discover new types of attacks like vulnerability chaining, and find out how to secure your assets against themEffective Vulnerability Management is a new and essential volume for executives, risk program leaders, engineers, systems administrators, and anyone involved in managing systems and software in our modern digitally-driven society. CHRIS HUGHES, M.S., MBA, currently serves as the Co-Founder and President at Aquia and has 20 years of IT/Cybersecurity experience in the public and private sectors. He is also an adjunct professor for M.S. Cybersecurity programs. Chris co-hosts the Resilient Cyber Podcast and also serves as a Cyber Innovation Fellow at CISA. NIKKI ROBINSON, DSC, PHD, is a Security Architect and Professor of Practice at Capitol Technology University. She holds a DSc in Cybersecurity and a PhD in Human Factors.
Atomic Scaling
Crack the code to supercharging your business.For the last two decades, gaming has outperformed nearly every other industry. Gaming companies produce three times more revenue than Hollywood. A single product boasts $20 billion in revenue. Products crafted by a few routinely reach more than a billion consumers, and their economies outperform most governments.Serial entrepreneur LUDOVIC BODIN knows the reason for such success. _Atomic Scaling_ holds the key.Although first developed within the gaming industry, the principles of _Atomic Scaling _can be applied to any organization. Whether you are involved in startups or Fortune 500 companies, discover how you can exponentially increase your customer base, revenue, and profit while lowering overhead. Quit playing games with your bottom line. Instead, explore bold new ways to fulfill your mission and increase your impact.
Automatic Speech Recognition and Translation for Low Resource Languages
AUTOMATIC SPEECH RECOGNITION AND TRANSLATION FOR LOW-RESOURCE LANGUAGESTHIS BOOK IS A COMPREHENSIVE EXPLORATION INTO THE CUTTING-EDGE RESEARCH, METHODOLOGIES, AND ADVANCEMENTS IN ADDRESSING THE UNIQUE CHALLENGES ASSOCIATED WITH ASR AND TRANSLATION FOR LOW-RESOURCE LANGUAGES. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. AUDIENCEThe book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity. L. ASHOK KUMAR, PHD, is a professor in the Department of Electrical and Electronics Engineering, PSG of Technology, Tamil Nadu, India. He has published more than 175 papers in international and national journals and received 26 awards for his PhD project on wearable electronics at national and international levels. He has created eight Centres of Excellence at PSG in collaboration with government agencies and industries such as the Centre for Audio Visual Speech Recognition and the Centre for Excellence in Solar Thermal Systems. Twenty-three out of 27 of his products have been technologically transferred to government funding agencies. D. KARTHIKA RENUKA, PHD, is a professor at PSG of Technology, Tamil Nadu, India. Her main areas of study focus on data mining, evolutionary algorithms, and machine learning. She is a recipient of the Indo-U.S. Fellowship for Women in STEMM. She has organized two international conferences on The Innovation of Computing Techniques and Information Processing and Remote Computing.BHARATHI RAJA CHAKRAVARTHI, PHD, is an assistant professor in the School of Computer Science, University of Galway, Ireland. His studies focus on multimodal machine learning, abusive/offensive language detection, bias in natural language processing tasks, inclusive language detection, and multilingualism. He has published many papers in international journals and conferences. He is an associate editor of the journal Expert System with Application and an editorial board member for Computer Speech & Language. THOMAS MANDL, PHD, is a professor of Information Science and Language Technology, University of Hildesheim, Germany. His research interests include information retrieval, human-computer interaction, and internationalization of information technology and he has published more than 300 papers on these topics. He coordinated tracks at the Cross Language Evaluation Forum (CLEF), the European information retrieval evaluation initiative. Thomas Mandl is the co-chair at FIRE, the evaluation initiative for Indian languages, since 2020 and coordinates the HASOC track on hate speech detection.
Metaheuristics for Machine Learning
METAHEURISTICS FOR MACHINE LEARNINGTHE BOOK UNLOCKS THE POWER OF NATURE-INSPIRED OPTIMIZATION IN MACHINE LEARNING AND PRESENTS A COMPREHENSIVE GUIDE TO CUTTING-EDGE ALGORITHMS, INTERDISCIPLINARY INSIGHTS, AND REAL-WORLD APPLICATIONS.The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. AUDIENCEThe book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms. KANAK KALITA, PHD, is a professor in the Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, India. He has more than 190 articles in international and national journals and 5 edited books. Dr. Kalita’s research interests include machine learning, fuzzy decision-making, metamodeling, process optimization, finite element method, and composites. NARAYANAN GANESH, PHD, is an associate professor at the Vellore Institute of Technology Chennai Campus. His extensive research encompasses a range of critical areas, including software engineering, agile software development, prediction and optimization techniques, deep learning, image processing, and data analytics. He has published over 30 articles and written 8 textbooks and has been recognized for his contributions to the field with two international patents from Australia. S. BALAMURUGAN, PHD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.
New Area-Based Anti-Aliasing for CGI
Computer-Generated Imagery (CGI) consists of computer applications for creating images in art, printed media, video games, simulators and computer animation. These images consist of 2 dimensional arrays of pixels (picture elements). When images are computed using a single sample per pixels, they show aliasing artifacts such as stairsteps on feature edges (jaggies). In dynamic scenes, aliasing artifacts are amplified, resulting in edge crawling, line breaking and small features popping in-and out. Aliasing artifacts can be minimized, by applying Anti-Aliasing (AA) techniques, such as Super-Sampling (SSAA). With SSAA, static images are computed at higher resolution, then downscaled with filtering. For real-time (RT) CGI applications like computer games and flight simulators, a similar approach consists of Multi-Sample AA (MSAA), With MSAA, several images are computed for a few sample points, followed by images averaging. The MSAA method can be computation intensive and costly. This book has two versions and this is the expanded or more detailed version.
Microsoft SharePoint Premium in the Real World
SKILLFULLY DEPLOY MICROSOFT SHAREPOINT PREMIUM TO AUTOMATE YOUR ORGANIZATION’S DOCUMENT PROCESSING AND MANAGEMENTIn Microsoft SharePoint Premium in the Real World: Bringing Practical Cloud AI to Content Management, a team of veteran Microsoft AI consultants delivers an insightful and easy-to-follow exploration of how to apply Syntex’ content AI and advanced machine learning capabilities to your firm’s document processing automation project.Using a simple, low-code/no-code approach, the authors explain how you can find, organize, and classify the documents in your SharePoint libraries. You’ll learn to use Microsoft SharePoint Premium to automate forms processing, document understanding, image processing, content assembly, and metadata search.Readers will also find:* Strategies for using both custom and pre-built, “off-the-rack” models to build your solutions* The information you need to understand the Azure Cognitive Services ecosystem more fully and how you can use it to build custom tools for your organization* Examples of solutions that will allow you to avoid the manual processing of thousands of your own documents and filesAn essential and hands-on resource for information managers, Microsoft SharePoint Premium in the Real World is a powerful tool for developers and non-developers alike.JACOB SANFORD leads a team at Slalom that creates Cognitive Services AI solutions for clients. He has almost 25 years’ experience in IT and AI. WOODROW WINDISCHMAN is a consultant at Slalom and helps clients around the world design and deploy information management solutions. DUSTIN WILLARD is a Microsoft MVP and a Global Modern Work Leader at Slalom. He has over 15 years’ experience in the SharePoint and M365 space architecting enterprise solutions. RYAN DENNIS is a consultant at Slalom with deep expertise in intranets, information management, platform architecture, search, and user experience.
Beginning Git and GitHub
Learn the fundamentals of version control through step-by-step tutorials that will teach you the ins-and-outs of Git. This updated version introduces Github workflows, and contains new chapters on how to make Git and GitHub truly yours, covers additional common problems and how to solve them, along with new features of Github pull requests.Divided into three parts – Version Control, Project Management and Teamwork – this book reveals what waits for you in the real world and how to resolve the problems you may run into. Once past the basics of Git, you'll see how to manage a software project, and finally how to utilize Git and GithHub to work effectively as a team. You'll examine how to plan, follow and execute a project with GitHub, and then apply those concepts to real-world situations. Workaround the pitfalls that most programmers fall into when driving a project with Git by using proven tactics to avoid them. You will also be taught the easiest and quickest ways to resolve merge conflicts.A lot of modern books on Git don’t go into depth about non-technical topics. Beginning Git and GitHub is your complete guide to how Git and GitHub work in a professional team environment and will help you cover all the bases right at the start of your career.WHAT YOU'LL LEARN* Review basic and advanced concepts of Git* Apply Project Management skills using GitHub * Solve conflicts or, ideally, avoid them altogether* Use advanced concepts for a more boosted workflowWHO THIS BOOK IS FORNew developers, developers that have never worked in a team environment before, developers with basic knowledge of Git or GitHub, or anyone who works with text documents.MARIOT TSITOARA is a Software Engineer with a passion for the Open Web. He has been involved with Mozilla as a Rep and a Tech Speaker since 2015 and has spoken extensively about Open Source and new technology, including Rust, WebVR and online privacy. You can reach him at mariot@tsitoara.fr.PART I: VERSION CONTROL WITH GIT.- 1: Version Control Systems.- 2: Installation and Setup.- 3: Getting Started.- 4: Diving into Git.- 5: Commits.- 6: Git Best Practices.- 7: Remote Git.- PART II: PROJECT MANAGEMENT WITH GITHUB.- 8: GitHub Primer.- 9: Quick Start with GitHub.- 10: Beginning Project Management: Issues.- 11: Diving into Project Management: Branches.- 12: Better Project Management: Pull Requests.- PART III TEAMWORK WITH GIT.- 13: Merge Conflicts.- 14: More about conflicts.- 15: Git GUI Tools.- 16: Advanced Git.- PART IV: MORE WITH GITHUB.- 17: More with GitHub.- 18: Common Git Problems.- 19: Git and GitHub Workflow. 20: Making Git Yours With Aliases
Advances in Fuzzy-Based Internet of Medical Things (IoMT)
ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT)THIS BOOK EXPLORES THE LATEST TRENDS, TRANSITIONS, AND ADVANCEMENTS OF THE INTERNET OF MEDICAL THINGS WHOSE INTEGRATION THROUGH CLOUD-HOSTED SOFTWARE APPLICATIONS ADDS REQUIRED INTELLIGENCE FROM TOOLS SUCH AS MEDICAL INSTRUMENTS, SCANNERS, AND APPLIANCES, ENABLING FUZZY LOGIC TO HELP MEDICAL PROFESSIONALS ESTABLISH LINGUISTIC CONCEPTS IN DECIDING DIAGNOSIS AND PROGNOSIS. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover:* new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels;* expounds on fuzzy logic techniques used in medical science;* describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis;* uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field;* provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things.AUDIENCE The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers. SATYA PRAKASH YADAV is an associate professor at GL Bajaj Institute of Technology & Management in Uttar Pradesh, India. He completed a PhD in science and technology from the Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India. He has 17 years of education experience, 4 published books, and has two patents. Yadav is the chief editor of the Journal of Cyber Security in Computer Systems Science and Engineering. SUDESH YADAV is an assistant professor at Government College in Haryana, India. She has a PhD in computer science from Guru Gobind Singh Indraprastha University, Delhi, India. Her main areas of interest are artificial intelligence, digital image processing, and soft computing. Along with publishing research papers, Yadav has also reviewed research papers from international journals and conferences. PETHURA RAJ is chief architect and vice president at Reliance Jio Platforms Ltd in Bangalore, India. He has a PhD in computer science and automation from the Indian Institute of Science in Bangalore, India. His areas of interest focus on artificial intelligence, model optimization, and reliability engineering. He has published thirty research papers and edited forty-two books. VICTOR HUGO C. DE ALBUQUERQUE works in the Department of Teleinformatics Engineering at the Federal University of Ceara, Brazil. He has a PhD in mechanical engineering from the Federal University of Paraiba. His research concentrates on applied computing, Intelligent systems, and artificial intelligence. He is Editor-in-Chief of the Journal of Artificial Intelligence and Systems. Preface xv1 IoMT--Applications, Benefits, and Future Challenges in the Healthcare Domain 1E. M. N. Sharmila, K. Rama Krishna, G. N. R. Prasad, Byram Anand, Chetna Vaid Kwatra and Dhiraj Kapila2 Fuzzy-Based IoMT System Design Challenges 25Ramakrishna Kolikipogu, Shivaputra and Makarand Upadhyaya3 Development and Implementation of a Fuzzy Logic-Based Framework for the Internet of Medical Things (IoMT) 39Santosh Reddy P., Mamatha A., Akshatha Kamath, Sreelatha P. K., Santosh Y. N. and Pallavi C. V.4 Detecting Healthcare Issues Using a Neuro-Fuzzy Classifier 59D. Saravanan, R. Parthiban, G. Arunkumar, D. Suganthi, Revathi R. and U. Palani5 Development of the Fuzzy Logic System for Monitoring of Patient Health 75Norma Ramírez-Asís, Ursula Lezameta-Blas, Anil Kumar Bisht, G. Arunkumar, Jose Rodriguez-Kong and D. Saravanan6 Management of Trust Between Patient and IoT Using Fuzzy Logic Theory 93L. Rajeshkumar, J. Rachel Priya, Konatham Sumalatha, G. Arunkumar, D. Suganthi and D. Saravanan7 Improving the Efficiency of IoMT Using Fuzzy Logic Methods 107K. Kiran Kumar, S. Sivakumar, Pramoda Patro and RenuVij8 An Intelligent IoT-Based Healthcare System Using Fuzzy Neural Networks 121Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi and D. Suganthi9 An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap-Smear Cell Image Classification 135Rakesh S., Smrita Barua, D. Anitha Kumari and Naresh E.10 Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT 149Srinivas Kolli, Pramoda Patro, Rupak Sharma and Amit Sharma11 Implementation of a Neuro-Fuzzy-Based Classifier for the Detection of Types 1 and 2 Diabetes 163Chamandeep Kaur, Mohammed Saleh Al Ansari, Vijay Kumar Dwivedi and D. Suganthi12 IoMT Type-2 Fuzzy Logic Implementation 179Sasanko Sekhar Gantayat, K. M. Pimple and Pokkuluri Kiran Sree13 Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT 195Tribhangin Dichpally, Yatish Wutla, Vallabhaneni Uday and Rohith Sai Midigudla14 An Intelligent Heartbeat Management System Utilizing Fuzzy Logic 211K. Suresh Kumar, R. Sudha, T. Suguna and M. K. Dharani15 Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring 225U. Moulali, Bhargavi Peddi Reddy, Srikanth Bhyrapuneni, Shruthi S.K., Shaik Khaleel Ahamed and Harikrishna Bommala16 Using IoT to Evaluate the Effectiveness of Online Interactive Tools in Healthcare 239K. Suresh Kumar, Chinmaya Kumar Nayak, Chamandeep Kaur and Ahmed Hesham Sedky17 Integration of Edge Computing and Fuzzy Logic to Monitor Novel Coronavirus 255K. Rama Krishna, R. Sudha, G. N. R. Prasad and Jithender Reddy Machana18 Implementation of IoT in Healthcare Barriers and Future Challenges 271Aravindan Srinivasan, Veeresh Rampur, Munagala Madhu Sudhan Rao and Ravinjit SinghReferences 283Index 287
Objektorientierte Softwareentwicklung mit UML (4. Auflage)
Objektorientierte Softwareentwicklung mit UML. In 4., aktualisierter und erweiterter Auflage, März 2024. Das Buch bietet einen Einstieg in die objektorientierte Spezifikation mit UML (Unified Modeling Language), einem Standard für die objektorientierte Softwareentwicklung.Neben der Nutzung der Sprachelemente von UML werden Vorgehensweisen für eine benutzerzentrierte Softwareentwicklung vorgestellt und diskutiert. Das beginnt bei der Analyse von Anforderungen und deren Spezifikation durch Szenarien und Anwendungsfallmodelle. Die Idee der Entwurfsmuster wird präsentiert und die Notationsmöglichkeiten in UML diskutiert. Beispiele für viel genutzte Entwurfsmuster und ihre Anwendung bei der Programmierung ergänzen den Inhalt. Sowohl Zustands- als auch Aktivitätsdiagramme werden ausführlich vorgestellt. Daneben sind auch Möglichkeiten aufgezeigt, wie die besonders bei Banken und Versicherungen beliebten Ereignis-Prozess-Ketten in UML notiert werden können.Es wird eine Einführung in die Notation von OCL (Object Constraint Language) gegeben, die als Teilsprache von UML notwendig ist, wenn grafische Darstellungen nicht genügend Ausdrucksstärke besitzen. Das neue Kapitel Kollaborative Analyse und Design wurde in Zusammenarbeit mit Dr.-Ing. Anke Dittmar verfasst.Aus dem Inhalt: AnwendungsfälleKlassendiagrammeZustandsdiagrammeAktivitätsdiagrammeEntwurfsmusterSoftwarequalitätskriterienEntwicklungsprozessePrototypingPersonasModellintegrationLeseprobe (PDF-Link)
Einfache & effektive strategische IT-Planung
- Strategische IT-Planung einfach & effektiv meistern - Liefert Best-Practices für eine lean und systematische strategische IT-Planung und Planung der digitalen Transformation - Basiert auf erprobten Methoden und Vorgehensweisen - Strukturiert das Thema für die Praxis mit einer konsistenten Begriffswelt - Neu in der 2. Auflage: Handhabbare strategische IT-Planung lean & systematisch mit allen Methoden und Leitfäden, die dafür erforderlich sind – mit Erfolgsgarantie; Methoden für Erstellung und Pflege einer Business Capability Map - Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches Veränderungen in den Geschäftsmodellen durch den digitalen Wandel und die fundamentalen Umbrüche infolge von z.B. Energiekrise und Pandemie sowie kürzer werdende Innovations- und Produktlebenszyklen stellen neben einem zuverlässigen Geschäftsbetrieb hohe Anforderungen an IT-Verantwortliche. Effizienz und Qualität in der Leistungserbringung, Time-to-market, Flexibilität und Innovationsfähigkeit sind die zentralen Herausforderungen, die gleichzeitig mit zunehmender IT-Komplexität bewältigt werden müssen. Die IT muss strategisch ausgerichtet und auf Veränderungen vorbereitet werden, um ihren Wertbeitrag signifikant zu erhöhen. Best-Practice-Bausteine und Schritt-für-Schritt-Leitfäden geben Ihnen Hilfestellungen für die individuelle Gestaltung Ihres Ziel-Bilds für einen erfolgreichen digitalen Wandel. AUS DEM INHALT // - Strategische IT-Planung - Business Architecture 4 Digitalization - Gestaltung des fachlichen Ziel-Bilds - Ableitung des IT-Ziel-Bilds - Operationalisierung der strategischen IT-Planung - IT-Governance Best-Practices - Herausforderungen der Digitalisierung und deren Einbezug in der strategischen Planung
Business-Analyse - einfach und effektiv (3. Auflg.)
- Systematische und durchgängige Darstellung der Tätigkeit der Business-Analyse und der Disziplin Demand Management- Strategische, taktische und operative Planungsebene in ihrem Zusammenspiel- Durchgängiges Praxisbeispiel- Sammlung von Best-Practices für die Business-Analyse und die Werkzeugunterstützung sowie organisatorische Verankerung des Demand Management- Ausführliche Beschreibung der Ergebnistypen der Business-Analyse mit Tipps und Tricks für die Nutzung inklusive Business-Case-Betrachtung- Schritt-für-Schritt-Anleitung für die Ableitung von Business-ServicesUnternehmen müssen in der Lage sein, sich zu verändern und an die jeweiligen Markt- und Wirtschaftsbedingungen schnell anzupassen. Die Tätigkeit der Business-Analyse und deren organisatorische Verankerung im Demand Management sind wesentliche Erfolgsfaktoren dafür. Die erforderlichen Veränderungen werden erkannt, fachlich gestaltet und umgesetzt. Das Projektportfolio sowie die einzelnen Projekte und Wartungsmaßnahmen werden an den Geschäftserfordernissen ausgerichtet und die Produktivität bei der Umsetzung wird gesteigert. Anzahl und Umfang von Geschäftsanforderungen werden durch frühzeitige Prüfung auf Nutzen, Konsistenz und Wichtigkeit deutlich reduziert. Unnötige Doppelarbeiten und wertvernichtende Projekte werden vermieden. So entstehen Freiräume für strategische Vorhaben.Wir stellen in diesem Buch Grundlagen und Best-Practices zur Durchführung der Business-Analyse bereit und helfen Ihnen, das Demand-Management bei klassischem und agilem Vorgehen mit Leben zu füllen.AUS DEM INHALT //Einleitung/Einführung in die Business-Analyse/Von der Geschäftsanforderung zum IT-Projekt/Best-Practices der Business-Analyse/Ergebnistypen der Business-Analyse/Business Capability Management & Business-Services Inge Hanschke, Dipl.-Inf., ist Expertin in der digitalen Transformation, Datenmanagement, Organisation 4.0, Enterprise Architecture Management, Business-Analyse & Demand Management, Lean Management, Informationssicherheit und Datenschutz. In über 30 Berufsjahren hat sie als Innovator, IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und als IT-Dienstleister konsequent die Brücke zwischen Business und IT geschlagen. Sie hat in vielen Unternehmen deren Geschäftsmodell sowie die IT digitalisiert, die IT an Geschäftsanforderungen ausgerichtet, das IT-Management professionalisiert und damit die Unternehmen für den digitalen Wandel vorbereitet.Daniel Goetze arbeitet als Senior Business Analyst. In mehr als 27 Berufsjahren hat er Unternehmen erfolgreich dabei unterstützt, fachliche Anforderungen in angemessene IT-Lösungen zu überführen. Er lebt in Hallbergmoos.
Storytelling: Digital - Multimedial - Artificial
- Experten von u.a. Adobe, Microsoft, Storymaker berichten aus der Praxis ihrer täglichen Arbeit- Praktisches Know-how zur sofortigen Umsetzung- Viele Tipps aus der langjährigen Praxiserfahrung der Autorin- Die Webseite zum Buch: www.story-baukasten.de- Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten BuchesMittlerweile haben alle Kommunikationsbereiche erkannt, dass Storytelling das mächtigste Mittel zur authentischen Zielgruppenansprache ist. Geschichten bewegen uns, wecken Emotionen und gute Storys bleiben langfristig in Erinnerung.Dieses Buch regt zum Nachdenken an, liefert Lösungen und lässt Storytelling-Praktiker zu Wort kommen, die bereits erfolgreich umgesetzte Storys präsentieren. Experten erläutern aus der Praxis ihres Berufsalltags heraus, was Storytelling bedeutet und wie sie es als Methode ein- und umsetzen:Rufus Deuchler, Adobe // Mariano Mailos, Microsoft // Carsten Rossi, Kammann Rossi GmbH // Björn Eichstädt, Storymaker // Michael Katzlberger, https://katzlberger.ai // Markus Kaiser, TH Nürnberg und CGI Deutschland // Amelie Reigl, https://diewissenschaftlerin.de // Kai Heddergott, https://www.heddergott.de // Thomas Riedel, https://www.droid-boy.deAUS DEM INHALT //Storytelling in Unternehmen/Sustainable Storytelling/Grundelemente/Story-Baukasten/Visual Storytelling/Multimedial, Digital, Crossmedial, Transmedial/Storytelling-Kanäle/Streaming/Storytelling im Metaverse/Artificial Storytelling/New Experience Storytelling/Tools und Checklisten Pia Kleine Wieskamp studierte Kunst, Kunstgeschichte, Pädagogik und Germanistik in Deutschland und Italien. Die Kommunikationsexpertin und Autorin trainiert und coacht seit einigen Jahren Firmen sowie Fach- und Führungskräfte in den Themen Digitale Kommunikation und Marketing. Ihre Schwerpunkte liegen in den Bereichen Storytelling, Visual Storytelling und Social Media in PR und Marketing. Einen großen Erfahrungsschatz erlangte Pia Kleine Wieskamp in ihren Tätigkeiten als PR- und Marketingmanagerin, Bloggerin, Journalistin und Redakteurin für TV, Magazine und Verlage.
Scalable AI and Design Patterns
Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation.This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies.The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing. By exploring scalability, you will be empowered to design and implement AI solutions that can adapt to changing data requirements.WHAT YOU WILL LEARN* Develop scalable AI systems that can handle large volumes of data, complex algorithms, and real-time processing* Know the significance of design patterns in creating robust intelligent solutions* Understand scalable algorithms and models to handle extensive data and computing requirements and build scalable AI systems* Be aware of the ethical implications of scalable AI systemsWHO THIS BOOK IS FORAI practitioners, data scientists, and software engineers with intermediate-level AI knowledge and experienceABHISHEK MISHRA is a seasoned data science and analytics professional with extensive expertise in information technology services and products. With a remarkable 15-year track record, Abhishek has leveraged his data science knowledge and engineering skills to analyze vast datasets, interpret findings, and communicate actionable insights to drive effective business decision making. He has successfully led global analytics teams, developed cutting-edge machine learning solutions, and formulated data analytics strategies for esteemed organizations such as Marsh and McLennan, Fiserv India Pvt Ltd, and Deloitte Inc.Chapter 1: Introduction to Scalable AI Systems.- Chapter 2: Fundamentals of Scalability in AI.- Chapter 3: Data Engineering for Scalable AI.- Chapter 4: Scalable AI Algorithms and Models.- Chapter 5: Scalable AI Infrastructure and Architecture.- Chapter 6: Scalable AI Deployment and Productionization.- Chapter 7: Scalable AI for Real-time and Streaming Data.- Chapter 8: Scalable AI for Edge Computing.- Chapter 9: Scalable AI Governance and Ethics.- Chapter 10: Case Studies and Best Practices.- Chapter 11: Future Trends and Emerging Technologies.- Chapter 12: Conclusion and Final Thoughts.
An Introduction to PHP
Use PHP to enhance your web pages. This book shows you how PHP programming works, and how to write and organize PHP code.The book starts with steps to download and install a setup for a sample website that will form the basis for upcoming chapters. You start by writing PHP code and learn how to mix it with HTML and manage the code. From there, you will learn about dynamic content, along with a deep dive into form processing and sending email. Saving uploaded data and uploading files is discussed next. You will learn how to configure your PHP project and develop a library. You will then learn how to create an image catalog and manage data on your web page. By the end of the book, you will understand how to work with cookies, sessions, and logging in, followed by an example of creating a simple blog that reiterates the concepts developed in the previous chapters.After reading this book, you will be able to configure, create, and manage your dynamic website.WHAT WILL YOU LEARN* Know the basics of programming with the PHP language* Use PHP to generate dynamic web pages* Work with SQL databases* Work with forms to upload text data and binary files* Use tips and tricks to write clean and maintainable codeWHO THIS BOOK IS FORWeb developers and students learning to develop and maintain PHP code on their websiteMARK SIMON has been involved in training and education since the beginning of his career. He started as a teacher of mathematics and moved into IT consultancy and training. He has worked with and trained in several programming and coding languages, and currently focuses on web development and database languages. When not involved in work, Mark can be found listening to or playing music, reading, or just wandering about.1: Introduction and Setting Up.- 2: Working with PHP.- 3: Email and Form Processing.- 4: Uploading Data and Files.- 5: Working with a Database.- 6: Adding Data to the Database.- 7: File Handling.- 8: The Image Gallery.- 9: Managing Data.- 10: Sessions and Logging In.- 11: A Configuration System.- 12: A Content Management System.- Appendix 1: Adding Markdown to Your Blog Articles.- Appendix 2: Non-PHP Tricks.- Appendix 3: PHP Versions.- Appendix 4: Default Library Functions.
DevOps
Wie IT-Projekte mit einem modernen Toolset und der richtigen Kultur gelingen. DevOps bedeutet nicht, dass Entwickler und Admins nun die gleichen Jobs erledigen.DevOps bedeutet auch nicht, dass man beim Programmieren tägliche neue Tools einsetzen muss, es keine geplanten Deployments mehr gibt und Software nur noch in Containern läuft.DevOps ist viel größer: Es verspricht eine neue Kultur der Zusammenarbeit sowie bessere Prozesse und Workflows. So liefern Sie Änderungen schneller aus und sorgen für kürzere Feedback-Schleifen zwischen Development und Operations.In zahlreichen Projekten hat Sujeevan Vijayakumaran gelernt, was in der Entwicklung und im Betrieb moderner Software gut funktioniert. Mit vielen Beispielen und Praxistipps zeigt er Ihnen, wie Sie eine moderne und zeitgemäße Arbeitsumgebung für Ihre IT-Projekte schaffen und die DevOps-Transformation in Ihrem Team gelingt.Aus dem Inhalt:Effizientes Zusammenarbeiten beim ProgrammierenSchlanke Build-ProzesseFrühe, schnelle und automatisierte QualitätssicherungSchnellere Releases erstellen und deployenDen Dienst betreiben und überwachenSicherheit und Compliance unter einen Hut bringenContinuous Integration: Tools richtig einsetzenContinuous Delivery praktisch umsetzenMonitoring und Observability für mehr DurchsichtMit DevOps-Plattformen die Tool-Landschaft vereinfachenJenseits von Kultur und ToolsLeseprobe (PDF-Link)Zum Autor:Sujeevan Vijayakumaran arbeitet als Senior Solutions Architect bei GitLab. Seit einigen Jahren unterstützt er große Konzerne aus Deutschland, Österreich und der Schweiz beim Ein- und Umstieg in die DevOps-Welt.
The Secrets of AI Value Creation
UNLOCK UNPRECEDENTED LEVELS OF VALUE AT YOUR FIRM BY IMPLEMENTING ARTIFICIAL INTELLIGENCEIn The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution, a team of renowned artificial intelligence leaders and experts delivers an insightful blueprint for unlocking the value of AI in your company. This book presents a comprehensive framework that can be applied to your organisation, exploring the value drivers and challenges you might face throughout your AI journey. You will uncover effective strategies and tactics utilised by successful artificial intelligence (AI) achievers to propel business growth. In the book, you’ll explore critical value drivers and key capabilities that will determine the success or failure of your company’s AI initiatives. The authors examine the subject from multiple perspectives, including business, technology, data, algorithmics, and psychology.Organized into four parts and fourteen insightful chapters, the book includes:* Concrete examples and real-world case studies illustrating the practical impact of the ideas discussed within* Best practices used and common challenges encountered when first incorporating AI into your company’s operations* A comprehensive framework you can use to navigate the complexities of AI implementation and value creationAn indispensable blueprint for artificial intelligence implementation at your organisation, The Secrets of AI Value Creation is a can’t-miss resource for managers, executives, directors, entrepreneurs, founders, data analysts, and business- and tech-side professionals looking for ways to unlock new forms of value in their company.The authors, who are industry leaders, assemble the puzzle pieces into a comprehensive framework for AI value creation:Michael Proksch is an expert on the subject of AI strategy and value creation. He worked with various Fortune 2000 organisations and focuses on optimising business operations building customised AI solutions, and driving organisational adoption of AI through the creation of value and trust.Nisha Paliwal is a senior technology executive. She is known for her expertise in various technology services, focusing on the importance of bringing AI technology, computing resources, data, and talent together in a synchronous and organic way.Wilhelm Bielert is a seasoned senior executive with an extensive of experience in digital transformation, program and project management, and corporate restructuring. With a proven track record, he has successfully led transformative initiatives in multinational corporations, specialising in harnessing the power of AI and other cutting-edge technologies to drive substantial value creation.MICHAEL PROKSCH is an expert on the subject of AI strategy and value creation. He worked with various Fortune 2000 organizations and focuses on optimizing business operations, building customized AI solutions, and driving organizational adoption of AI through the creation of value and trust. NISHA PALIWAL is a senior technology executive. She is known for her expertise in various technology services, focusing on the importance of bringing AI technology, computing resources, data, and talent together in a synchronous and organic way.WILHELM BIELERT is a seasoned senior executive with extensive experience in digital transformation, program and project management, and corporate restructuring. With a proven track record, he has successfully led transformative initiatives in multinational corporations, specializing in harnessing the power of AI and other cutting-edge technologies to drive substantial value creation. Introduction ixThree Authors, Three Perspectives, One Framework xvPART I VALUE CREATION POTENTIAL 11 The Journey of AI Achievers 32 Three Factors of AI Business Value Creation 193 Four Types of AI Value Creation 43PART II OVERCOMING VALUE CHALLENGES 654 AI-Centric Elements 675 Collecting Valuable Data 916 Creating Actionable Insights 1097 Building Stakeholder Trust 1318 Managing AI’s Decision- Making 153PART III ENTERPRISE INTEGRATION 1799 CRAFTING AN AI STRATEGY 18110 Leading Successful Projects 19911 Cultivating an AI-Friendly Culture 229PART IV REQUIRED CAPABILITIES 25512 Technology 25713 Data Management 27714 Talent 305Conclusion 335About the Authors 337About the Contributors 341References 343Index 373