Computer und IT
Explainable Machine Learning Models and Architectures
EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURESTHIS CUTTING-EDGE NEW VOLUME COVERS THE HARDWARE ARCHITECTURE IMPLEMENTATION, THE SOFTWARE IMPLEMENTATION APPROACH, AND THE EFFICIENT HARDWARE OF MACHINE LEARNING APPLICATIONS.Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. SUMAN LATA TRIPATHI, PHD, is a professor at Lovely Professional University with more than 21 years of experience in academics. She has published more than 103 research papers in refereed journals and conferences. She has organized several workshops, summer internships, and expert lectures for students, and she has worked as a session chair, conference steering committee member, editorial board member, and reviewer for IEEE journals and conferences. She has published three books and currently has multiple volumes scheduled for publication from Wiley-Scrivener. MUFTI MAHMUD, PHD, is an associate professor of cognitive computing at the Department of Computer Science of Nottingham Trent University, UK. He is the Coordinator of the Computer Science and Informatics Unit of Assessment of Research Excellence Framework at NTU and the deputy group leader of the Interactive Systems Research Group and the Cognitive Computing & Brain Informatics research group. He is also an active member of the Computing and Informatics Research Centre and the Medical Technologies Innovation Facility. He is a member of numerous societies and research committees. Preface xiiiAcknowledgements xv1 A COMPREHENSIVE REVIEW OF VARIOUS MACHINE LEARNING TECHNIQUES 1Pooja Pathak and Parul Choudhary1.1 Introduction 11.1.1 Random Forest 21.1.2 Decision Tree 31.1.3 Support Vector Machine 41.1.4 Naive Bayes 51.1.5 K-Means Clustering 61.1.6 Principal Component Analysis 61.1.7 Linear Regression 61.1.8 Logistic Regression 71.1.9 Semi-Supervised Learning 81.1.10 Transductive SVM 91.1.11 Generative Models 91.1.12 Self-Training 91.1.13 Relearning 91.2 Conclusions 92 ARTIFICIAL INTELLIGENCE AND IMAGE RECOGNITION ALGORITHMS 11Siddharth, Anuranjana and Sanmukh Kaur2.1 Introduction 122.2 Traditional Image Recognition Algorithms 132.2.1 Harris Corner Detector (1988) 132.2.2 SIFT (2004) 152.2.3 ASIFT 162.2.4 SURF (2006) 172.3 Neural Network-Based Algorithms 212.4 Convolutional Neural Network Architecture 222.5 Various CNN Architectures 232.5.1 LeNet-5 (1998) 232.5.2 AlexNet (2012) 242.5.3 VGGNet (2014) 242.5.4 GoogleNet (2015) 243 EFFICIENT ARCHITECTURES AND TRADE-OFFS FOR FPGA-BASED REAL-TIME SYSTEMS 31L.M.I. Leo Joseph, J. Ajayan, Sandip Bhattacharya and Sreedhar Kollem3.1 Overview of FPGA-Based Real-Time System 313.1.1 Key Elements of Real-Time System 323.1.2 Real-Time System and its Computation 323.1.3 FPGA Functionality and Applications 333.1.4 FPGA Applications 333.1.5 FPGA Architecture 343.1.6 Reconfigurable Architectures 353.2 Hybrid FPGA Configurations and its Algorithms 383.2.1 Hybrid FPGA 383.2.2 Hybrid FPGA Architecture 393.2.3 Hybrid FPGA Configuration 403.3 Hybrid FPGA Algorithms 423.3.1 Relevance of Hardware-Accelerated Architecture to FPGA Software Implementation 443.4 CNN Hardware Accelerator Architecture Overview 463.5 Summary 474 A LOW-POWER AUDIO PROCESSING USING MACHINE LEARNING MODULE ON FPGA AND APPLICATIONS 49Suman Lata Tripathi, Dasari Lakshmi Prasanna and Mufti Mahmud4.1 Introduction 494.2 Existing Machine Learning Modules and Audio Classifiers 504.3 Audio Processing Module Using Machine Learning 564.4 Application of Proposed FPGA-Based ML Models 574.5 Implementation of a Microphone on FPGA 594.6 Conclusion 604.7 Future Scope 605 SYNTHESIS AND TIME ANALYSIS OF FPGA-BASED DIT-FFT MODULE FOR EFFICIENT VLSI SIGNAL PROCESSING APPLICATIONS 65Siba Kumar Panda, Konasagar Achyut and Dhruba Charan Panda5.1 Introduction 665.2 Implementation of DIT-FFT Algorithm 675.2.1 A Quick Overview of DIT-FFT 675.2.2 Algorithmic Representation with Example 695.2.3 Simulated Output Waveform 695.3 Synthesis of Designed Circuit 715.4 Static Timing Analysis of Designed Circuit 735.5 Result and Discussion 775.6 Conclusion 776 ARTIFICIAL INTELLIGENCE-BASED ACTIVE VIRTUAL VOICE ASSISTANT 81Swathi Gowroju, G. Mounika, D. Bhavana, Shaik Abdul Latheef and A. Abhilash6.1 Introduction 826.2 Literature Survey 836.3 System Functions 876.4 Model Training 886.5 Discussion 906.5.1 Furnishing Movie Recommendations 916.5.2 KNN Algorithm Book Recommendation 926.6 Results 936.7 Conclusion 1027 IMAGE FORGERY DETECTION: AN APPROACH WITH MACHINE LEARNING 105Madhusmita Mishra, Silvia Tittotto and Santos Kumar Das7.1 Introduction 1057.2 Historical Background 1077.3 CNN Architecture 1097.4 Analysis of Error Level of Image 1137.5 Proposed Model of Image Forgery Detection, Results and Discussion 1157.6 Conclusion 1187.7 Future Research Directions 1198 APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN OPTICAL PERFORMANCE MONITORING 123Isra Imtiyaz, Anuranjana, Sanmukh Kaur and Anubhav Gautam8.1 Introduction 1238.2 Algorithms Employed for Performance Monitoring 1298.2.1 Artificial Neural Networks 1298.2.2 Deep Neural Networks 1308.2.3 Convolutional Neural Networks 1318.2.3.1 Convolutional Layer 1318.2.3.2 Non-Linear Layer 1328.2.3.3 Pooling Layer 1328.2.3.4 Fully Connected Layer 1328.2.4 Support Vector Regression (SVR) 1338.2.5 Support Vector Machine (SVM) 1338.2.6 Kernel Ridge Regression (KRR) 1338.2.7 Long Short-Term Memory (LSTM) 1338.3 Artificial Intelligence (AI) Methods, Performance Monitoring and Applications in Optical Networks 1348.3.1 Performance Monitoring 1348.3.2 Applications of AI in Optical Networking 1358.4 Optical Impairments and Fault Management 1358.4.1 Noise 1358.4.2 Distortion 1358.4.3 Timing 1368.4.4 Component Faults 1368.4.5 Transmission Impairments 1378.4.6 Fault Management in Optical Network 1378.5 Conclusion 1389 WEBSITE DEVELOPMENT WITH DJANGO WEB FRAMEWORK 141Sanmukh Kaur, Anuranjana and Yashasvi Roy9.1 Introduction 1419.2 Salient Features of Django 1429.2.1 Complete 1429.2.2 Versatile 1429.2.3 Secure 1429.2.4 Scalable 1439.2.5 Maintainable 1439.2.6 Portable 1439.3 UI Design 1439.3.1 HTML 1439.3.2 CSS 1449.3.3 Bootstrap 1449.4 Methodology 1449.5 UI Design 1449.6 Backend Development 1489.6.1 Login Page 1489.6.2 Registration Page 1499.6.3 User Tracking 1499.7 Ouputs 1509.8 Conclusion 15210 REVENUE FORECASTING USING MACHINE LEARNING MODELS 155Yashasvi Roy and Sanmukh Kaur10.1 Introduction 15510.2 Types of Forecasting 15610.2.1 Qualitative Forecasting 15610.2.1.1 Industries That Use Qualitative Forecasting 15710.2.1.2 Qualitative Forecasting Methods 15810.2.2 Quantitative Forecasting 15810.2.2.1 Quantitative Forecasting Methods 15910.2.3 Artificial Intelligence Forecasting 16010.2.3.1 Artificial Neural Network (ANN) 16010.2.3.2 Support Vector Machine (SVM) 16110.3 Types of ML Models Used in Finance 16210.3.1 Linear Regression 16210.3.1.1 Simple Linear Regression 16210.3.1.2 Multiple Linear Regression 16210.3.2 Ridge Regression 16310.3.3 Decision Tree 16410.3.3.1 Prediction of Continuous Variables 16410.3.3.2 Prediction of Categorical Variables 16510.3.4 Random Forest Regressor 16510.3.5 Gradient Boosting Regression 16610.3.5.1 Advantages of Gradient Boosting 16710.4 Model Performance 16710.4.1 R-Squared Method 16710.4.2 Mean Squared Error (MSE) 16710.4.3 Root Mean Square Error (RMSE) 16810.5 Conclusion 16811 APPLICATION OF MACHINE LEARNING OPTIMIZATION TECHNIQUES IN WIND RESOURCE ASSESSMENT 171Udhayakumar K. and Krishnamoorthy R.11.1 Introduction 17211.2 Wind Data Analysis Methods 17311.2.1 Wind Characteristics Parameters 17311.2.2 Wind Speed Distribution Methods 17311.2.3 Weibull Method 17411.2.4 Goodness of Fit 17511.3 Wind Site and Measurement Details 17511.3.1 Seasonal Wind Periods 17611.3.2 Machine Learning and Optimization Techniques 17611.3.2.1 Moth Flame Optimization (MFO) Method 17611.4 Results and Discussions 18011.4.1 Wind Characteristics 18211.4.1.1 Kayathar Station (Onshore) 18211.4.1.2 Gulf of Khambhat (Gujarat Offshore) Station 18711.4.1.3 Jafrabad (Gujarat-Nearshore) 19211.4.2 Wind Distribution Fitting 19511.4.2.1 Kayathar Station (Onshore) 19611.4.2.2 Bimodal Behaviour 19611.4.2.3 Gulf of Khambhat (Offshore) Wind Distribution 20211.4.2.4 Jafrabad Station (Nearshore) Distribution Fitting 20311.4.3 Optimization Methods for Parameter Estimation 21211.4.3.1 Optimization Parameters Comparison 21211.4.4 Wind Power Density Analysis (WPD) 21411.4.4.1 Comparison of Wind Power Density 21511.5 Research Summary 22111.6 Conclusions 22212 IOT TO SCALE-UP SMART INFRASTRUCTURE IN INDIAN CITIES: A NEW PARADIGM 227Indu Bala, Simarpreet Kaur, Lavpreet Kaur and Pavan Thimmavajjala12.1 Introduction 22812.2 Technological Progress: A Brief History 22912.3 What is the Internet of Things (IoT)? 23012.4 Economic Effects of Internet of Things 23012.5 Infrastructure and Smart Infrastructure: The Difference 23212.5.1 What is Smart Infrastructure? 23312.5.2 What are the Principles of Smart Infrastructure? 23412.5.3 Components of IoT-Based Smart City Project 23512.6 Architecture for Smart Cities 23612.6.1 Networking Technologies 23712.6.2 Network Topologies 23712.6.3 Network Architectures 23812.6.3.1 Home Area Networks (HANs) 23812.6.3.2 Field/Neighborhood Area Networks (FANs/NANs) 23812.6.3.3 Wide Area Networks (WANs) 23812.6.3.4 Network Protocols 23812.7 IoT Technology in India’s Smart Cities: The Current Scenario 23912.8 Challenges in IoT-Based Smart City Projects 24312.8.1 Technological Challenges 24312.8.1.1 Privacy and Security 24312.8.1.2 Smart Sensors and Infrastructure Essentials 24312.8.1.3 Networking in IoT Systems 24412.8.1.4 Big Data Analytics 24412.8.2 Financial - Economic Challenges 24412.9 Role of Explainable AI 24512.10 Conclusion and Future Scope 246References 246Index 251
Einsatzmöglichkeiten von GPT in Finance, Compliance und Audit
Dieses Buch wurde von drei Experten geschrieben, die mit Unterstützung von GPT, einen umfassenden Einblick in Einsatzmöglichkeiten generativer AI, wie GPT, im Finanzbereich von Unternehmen geben. Es liefert Hintergründe, Vorteile sowie die Herausforderungen und Risiken bei der Implementierung. Es werden neben allgemeinen Anwendungsmöglichkeiten im Unternehmen ebenso spezifische Anwendungen dargestellt. Dabei wird konkret in den Bereichen Controlling, Business Intelligence, Accounting, Investor Relationship, Innenrevision und Kontrollsysteme, Risikomanagement, Wirtschaftsprüfung und Datenschutz eingegangen. Das Buch befasst sich abschließend mit der Strategie im Einsatz von GPT.Hintergrund und Vorteile von GPT.- Herausforderungen und Risiken im Einsatz von GPT.- Allgemeine Anwendungsmöglichkeiten im Unternehmen.- Einsatzbeispiele in Controlling, Business Intelligence, Accounting, Investor Relationship, Innenrevision und Kontrollsysteme, Risikomanagement, Wirtschaftsprüfung und Datenschutz.- Strategie im Einsatz von GPT.
Building Responsible AI Algorithms
This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust.The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.WHAT YOU WILL LEARN* Build AI/ML models using Responsible AI frameworks and processes* Document information on your datasets and improve data quality* Measure fairness metrics in ML models* Identify harms and risks per task and run safety evaluations on ML models* Create transparent AI/ML models* Develop Responsible AI principles and organizational guidelinesWHO THIS BOOK IS FORAI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms TOJU DUKE is a Responsible AI Program Manager at Google with over 17 years of experience spanning across advertising, retail, not-for-profits, and tech industries. She designs Responsible AI programs focused on the development and implementation of Responsible AI frameworks, processes, and tools across Google’s product and research teams. Toju is also the Founder of Diverse in AI, a community interest organization with a mission to provide inclusive and diverse AI through humanity. She provides consultation and advice on Responsible AI practices to organizations worldwide.IntroductionPART I. FOUNDATION1. Responsibility2. AI Principles3. DataPART II. IMPLEMENTATION4. Responsible AI Framework5. Fairness6. Safety7. Humans in the Loop8. Transparency9. Privacy and RobustnessPART III. ETHICAL CONSIDERATIONS10. Ethics of AI and MLReferences
KI 2.023
Die Künstliche Intelligenz beschäftigt immer häufiger die Medien und damit die Menschen. Doch was steckt dahinter? Ist die Künstliche Intelligenz der Heilsbringer für eine phantastische Zukunft, in der sich die Menschen frei entfalten können und befreit sind von Routinetätigkeiten?Oder ist Künstliche Intelligenz eine Bedrohung für die Menschheit?Dieses Buch will Antworten auf diese Fragen geben. Auf Basis von Fakten, ausgehend vom aktuellen Stand der Forschung. Und basierend auf den Forschungsergebnissen wird ein Trend aufgezeichnet, wie sich die Künstliche Intelligenz entwickeln wird und damit auch die Menschliche Gesellschaft.Und zeigt damit die Chancen und Risiken auf in der Hoffnung, dass jeder für sich einen Überblick erhält, um mit dem Thema verantwortungsvoll umzugehen.Uwe Irmer:Dipl. Ing. Uwe Irmer studierte Elektrotechnik und Wirtschaftsingenieur mit den Schwerpunkten Energietechnik, Informatik und Projektmanagement. Seit 1990 in vielen nationalen und internationalen Projekten der Fachbereiche Energieverteilung, Informationssicherheit und IT Architektur tätig, befasst er sich seit 1992 mit dem Thema Informationssicherheit und forscht auf den Gebieten Projektmanagement, Informationssicherheit, IT Forensics, Künstliche Intelligenz und Cloud Technologie.
Artificial Intelligence for Sustainable Applications
ARTIFICAL INTELLIGENCE FOR SUSTAINABLE APPLICATIONSTHE OBJECTIVE OF THIS BOOK IS TO LEVERAGE THE SIGNIFICANCE OF ARTIFICIAL INTELLIGENCE IN ACHIEVING SUSTAINABLE SOLUTIONS USING INTERDISCIPLINARY RESEARCH THROUGH INNOVATIVE IDEAS.With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities. While AI creates opportunities, it also presents greater challenges in the sustainable development of engineering applications. Therefore, the association between AI and sustainable applications is an essential field of research. Moreover, the applications of sustainable products have come a long way in the past few decades, driven by social and environmental awareness, and abundant modernization in the pertinent field. New research efforts are inevitable in the ongoing design of sustainable applications, which makes the study of communication between them a promising field to explore. This book highlights the recent advances in AI and its allied technologies with a special focus on sustainable applications. It covers theoretical background, a hands-on approach, and real-time use cases with experimental and analytical results. AUDIENCEAI researchers as well as engineers in information technology and computer science. K. UMAMAHESWARI, PHD, is a professor and head with 27 years of experience in the Department of Information Technology at PSG College of Technology, Coimbatore, India. B. VINOTH KUMAR, PHD, is an associate professor with 19 years of experience in the Department of Information Technology at PSG College of Technology, Coimbatore, India. S. K. SOMASUNDARAM, PHD, is an assistant professor in the Department of Information Technology, PSG College of Technology, Coimbatore, India.
Exploring the Power of ChatGPT
Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human communication and interaction.Author Eric Sarrion examines various aspects of ChatGPT, including its internal workings, use in computer projects, and impact on employment and society. He also addresses long-term perspectives for ChatGPT, including possible future advancements, adoption challenges, and considerations for ethical and responsible use. The book starts with an introduction to ChatGPT covering its versions, application areas, how it works with neural networks, NLP, and its advantages and limitations. Next, you'll be introduced to applications and training development projects using ChatGPT, as well as best practices for it. You'll then explore the ethical implications of ChatGPT, such as potential biases and risks, regulations, and standards. This is followed by a discussion of future prospects for ChatGPT. The book concludes with practical use case examples, such as text content creation, software programming, and innovation and creativity.This essential book summarizes what may be one of the most significant developments in artificial intelligence in recent history and provides useful insights for researchers, policymakers, and anyone interested in the future of technology.WHAT YOU WILL LEARN* Understand the basics of deep learning and text generation using language models such as ChatGPT* Prepare data and train a language model to generate text* Use ChatGPT for various applications such as marketing text generation or answering questions* Understand the use of ChatGPT through the OpenAI API and how to optimize model performanceWHO THIS BOOK IS FORSoftware developers and professionals, researchers, students, and people interested in learning more about this field and the future of technology.ERIC SARRION is a trainer, developer, and independent consultant. He has been involved in all kinds of IT projects over the past 30 years. He is also a long-time author of web development technologies and is renowned for the clarity of his explanations and examples. He resides in Paris, France.Part 1: Introduction to ChatGPT1 - What is ChatGPT ?Describes hat is ChatGPT, its history...• 1.1 Definition of ChatGPT• 1.2 ChatGPT History• 1.3 Versions of ChatGPT• 1.4 Application areas of ChatGPT2 - How Does ChatGPT Work?Describes how it works inside• 2.1 Neural networks• 2.2 Natural language processing techniques used by ChatGPT• 2.3 The data used to train ChatGPT• 2.4 The advantages and limitations of ChatGPT3 - Applications of ChatGPTDescribes what you can do whith ChatGPT• 3.1 Chatbots and virtual assistants• 3.2 Machine translation apps• 3.3 Content writing apps• 3.4 Applications in information retrievalPart 2: How To Train and Use ChatGPT4 - ChatGPT TrainingDescribes how to build the models used by ChatGPT• 4.1 Data collection and preparation• 4.2 ChatGPT training settings• 4.3 Training tools available• 4.4 Techniques to improve ChatGPT performance5 - Using ChatGPT in Development ProjectsDescribes how to use ChatGPT in a web page with an API• 5.1 Libraries and frameworks for ChatGPT• 5.2 Examples of projects using ChatGPT• 5.3 Techniques to integrate ChatGPT into applications• 5.4 Use ChatGPT with the OpenAI API• 5.5 Use ChatGPT with a voice interface• 5.6 Methods to evaluate the performance of ChatGPT6 - Best Practices for Using ChatGPTDescribes how to optimize ChatGPT• 6.1 Strategies to ensure the quality of input data• 6.2 Techniques to avoid bias in data• 6.3 Methods to optimize ChatGPT performance• 6.4 ChatGPT maintenance tipsPart 3 The Ethical Implications of ChatGPT7 - Potential Biases and Risks of ChatGPTDescribes biases and riks of ChatGPT• 7.1 Sources of bias in the data• 7.2 The risks of discrimination and stigmatization• 7.3 The limits of ChatGPT transparency• 7.4 Consequences for privacy and data security8 - The Implications of ChatGPT on Employment and SocietyDescribes impacts on employment and society• 8.1 The impacts on employment in various sectors• 8.2 The implications for education and vocational training• 8.3 Consequences for social and cultural norms• 8.4 Political and legal responses to the changes brought about by ChatGPT9 - Regulations and Standards for Using ChatGPTDescribes responsible use of ChatGPT• 9.1 Existing regulations for consumer protection• 9.2 Standards for Responsible Use of ChatGPT• 9.3 ChatGPT governance initiatives• 9.4 Considerations for Legal and Ethical Responsibility of ChatGPTPart 4 Future Prospects of ChatGPT10 - Future Developments of ChatGPTDescribes future developments• 10.1 Advances in Machine Learning and Natural Language Processing Research• 10.2 ChatGPT performance and efficiency improvements• 10.3 Advances in applications and areas of use of ChatGPT• 10.4 Developments in the competition and the ChatGPT market11 - The Long Term Outlook for ChatGPTDescribes long term outlook• 11.1 The implications for artificial intelligence and cognition• 11.2 Merging possibilities between ChatGPT and other emerging technologies• 11.3 The challenges of adopting and accepting ChatGPT• 11.4 Issues for regulation and governance of ChatGPTPart 5 : Examples of Using ChatGPT12 - Using ChatGPT for Text Content Creation13 - Using ChatGPT for Software Programming14 - Using ChatGPT for Text Translation15 - Using ChatGPT for Artistic Content Creation16 - Using ChatGPT for Innovation and Creativity17 - ConclusionGives a conclusion of the book• 17.1 Summaries of the key elements covered in the book• 17.2 Final thoughts on the impact and implications of ChatGPT• 17.3 Suggestions for future research and development on ChatGPT• 17.4 Considerations for the ethical and responsible use of ChatGPT in the future.• 17.5 In conclusion
Pro Power BI Theme Creation
Use JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create theme files using the Power BI Desktop application to define high-level formatting attributes for dashboards as well as how to tailor detailed formatting specifications for individual dashboard elements in JSON files. Standardize the look of your dashboards and apply formatting consistently over all your reports. The techniques in this book provide you with tight control over the presentation of all aspects of the Power BI dashboards and reports that you create.Power BI theme files use JSON (JavaScript Object Notation) as their structure, so the book includes a brief introduction to JSON as well as how it applies to Power BI themes. The book further includes a complete reference to all the current formatting definitions and JSON structures that are at your disposal for creating JSON theme files up to the May 2023 release of Power BI Desktop. Finally, the book includes dozens of theme files, from the simple to the most complex, that you can adopt and adapt to suit your own requirements.WHAT YOU WILL LEARN* Produce designer output without manually formatting every individual visual in a Power BI dashboard* Standardize presentation for families of dashboard types* Switch presentation styles in a couple of clicks* Save dozens, or hundreds, of hours laboriously formatting dashboards* Define enterprise-wide presentation standards* Retroactively apply standard styles to existing dashboardsWHO THIS BOOK IS FORPower BI users who want to save time by defining standardized formatting for their dashboards and reports, IT professionals who want to create corporate standards of dashboard presentation, and marketing and communication specialists who want to set organizational standards for dashboard delivery.ADAM ASPIN is an independent business intelligence consultant based in the United Kingdom. He has worked with SQL Server for over 25 years, and now focuses on Power BI. During this time, he has developed several dozen BI and analytics systems based on the Microsoft BI product suite. Adam has been creating JSON theme files since the feature was first introduced in Power BI Desktop, and has delivered corporate Power BI themes for dozens of clients across Europe.Adam is a graduate of Oxford University. He has applied his skills for a range of clients in finance, banking, utilities, telecoms, construction, and retail. He is the author of a number of Apress books: Pro Power BI Dashboard Creation; Pro DAX and Data Modeling in Power BI; Pro Data Mashup in Power BI; SQL Server Data Integration Recipes; Business Intelligence with SQL Server Reporting Services; High Impact Data Visualization in Excel with Power View, 3D Maps, Get and Transform and Power BI; and Data Mashup with Microsoft Excel Using Power Query and M.1. Introduction to Power BI Themes2. Create and Customize a Theme In Power BI Desktop3. High-Level Theme Definition4. Default Visual Styles5. Object Visual Styles6. Card and Table Visual Styles7. Classic Chart Visual Styles8. Complex Chart Visual Styles9. Other Chart Visual Styles10. Maps11. Miscellaneous Visual Styles12. Dashboard Styling13. Cascading Styles
Test-Driven Development with React and TypeScript
Apply test-driven principles to create scalable and maintainable React applications. This book covers a wide range of topics, including setting up a testing environment and utilizing popular testing frameworks like Cypress, Jest, and the React Testing Library. It also delves into valuable refactoring techniques, as well as enhancing code maintainability and readability. What sets this comprehensive guide apart is its end-to-end project simulation, showcasing how TDD can be employed to build a complete application called "Bookish."Test-Driven Development with React and TypeScript elevates its code examples by leveraging TypeScript, the predominant language in modern frontend development, offering you a deeper understanding of how TDD principles can be applied to React projects. Furthermore, all code examples have been carefully revised and updated for this edition, incorporating reader feedback and reflecting current industry standards.After completing this book, you have the knowledge and skills necessary to develop high quality and scalable React applications.WHAT YOU WILL LEARN* Master essential refactoring techniques to enhance code quality* Employ modern practices for writing maintainable React code, including testing and product implementation* Gain practical experience applying test-driven development (TDD) principles to real-world projects * Craft high quality, scalable, and maintainable React applications using TDD principles and techniquesWHO THIS BOOK IS FORWeb application developers who wants to learn how to write high quality code using test-driven development. JUNTAO QIU is an accomplished software developer renowned for his expertise in producing high-quality and easily maintainable code. He is committed to helping individuals improve their code-writing abilities, and generously shares his vast knowledge and experience through multiple platforms, including books such as this one and Maintainable React (Leanpub, 2022). In addition, Juntao hosts a YouTube channel where he provides valuable insights, tips, and best practices for writing clean code and performing refactoring. Juntao's goal is to empower developers, enabling them to reach their full potential and have a positive impact on the software development industry. Chapter 1. A Very Brief History of Test-Driven Development.-Chapter 2. Get Started with Jest.-Chapter 3. Test-Driven Development 101.-Chapter 4. Project Setup.-Chapter 5. Implementing the Book List.-Chapter 6. Implementing the Book Detail View.-Chapter 7. Searching by Keyword.-Chapter 8. State Management.-Chapter 9. Managing Book Reviews.-Chapter 10. Behavior-Driven Development.-Chapter 11: Refactoring TechniquesAppendix A: Design the State Data Shape of Your Application.-Appendix B: Background of Testing Strategies.-Appendix C: Typescript
Docs-as-Ecosystem
Investing in engineering documentation (Docs) means investing in community user experience. This book teaches readers how mastering the docs-as-code ecosystem empowers communities to understand better their favorite products and Open-Source (OSS) technologies better.Author Alejandra Quetzalli believes that “docs-as-ecosystem” represents a more comprehensive and collaborative approach to documentation development than “docsas- code” because it recognizes that documentation is more than just code. Docs involve technical writing, design, community feedback, community management, accessibility, SEO, UX, and today… even Artificial Intelligence tools! The word ecosystem promotes a paradigm where we treat documentation as a complex and dynamic system that must be managed and nurtured.In this book, you’ll acquire practical skills such as creating public style guides, incorporating responsive and accessible design, designing user flows and information architecture, retrieving user feedback, and setting up Docs analytics. You’ll learn to identify the difference in work processes between maintaining Docs for a product versus an OSS technology. You’ll discover the secrets to managing technical writers and OSS contributions, all while building a thriving Docs community. To end on a futuristic note, you’ll discover why technical writers who harness Artificial Intelligence (AI) tools (i.e., ChatGPT) need not fear a robot uprising anytime soon.WHAT YOU'LL LEARN* Examine accessibility and the user experience* Understand Information architecture * Review docs-as-ecosystem processes * Manage technical writers* Oversee OSS Docs contributions * Retrieve and integrate user feedback * Build Docs and Education communities WHO THIS BOOK IS FORDevelopers of all levels, VPs of Product/Engineering, Product Managers, and Designers,ALEJANDRA QUETZALLI is a Latina from México with 10 years of experience in the tech industry and a devoted autism service dog, Canela. Canela works side-by-side with Alejandra, even joining her traveling and speaking engagements at tech conferences worldwide. Throughout her career, Alejandra has worked in SEO, Paid Search, Full-Stack development, UX, Developer Relations, Technical Writing (Engineering Documentation), AWS Cloud Advocacy, startups, and Open-Source (OSS). She's currently a core maintainer at AsyncAPI Initiative, leading OSS initiatives for AsyncAPI Docs and Education. In 2022, she became a member of the AsyncAPI Technical Steering Committee (TSC).In 2016, she founded sheCodesNow.org to provide accessible programming workshops for women and minorities transitioning into tech. Today, sheCodesNow has grown to develop technical courses in technical writing, developer relations, and tech community building.DESIGNING DEVELOPER DOCUMENTATION AS A PRODUCTChapter 1 - AccessibilityChapter 2 - Information ArchitectureChapter 3 - SEOChapter 4 - UI DesignChapter 5 - Documenting APIsChapter 6 - Documenting SDKsChapter 7 - Integrating your Docs into CI/CD pipelinesChapter 8 - Make your style guide publicChapter 9 - Open Source contributionsChapter 10 - Retrieve customer feedback and analyticsChapter 11 - Prioritize documentation requestsChapter 12 - Open community communication channelsAppendix A: Engineering Documentation TemplatesReferences
Cyber Guardians
A COMPREHENSIVE OVERVIEW FOR DIRECTORS AIMING TO MEET THEIR CYBERSECURITY RESPONSIBILITIESIn Cyber Guardians: Empowering Board Members for Effective Cybersecurity, veteran cybersecurity advisor Bart McDonough delivers a comprehensive and hands-on roadmap to effective cybersecurity oversight for directors and board members at organizations of all sizes. The author includes real-world case studies, examples, frameworks, and blueprints that address relevant cybersecurity risks, including the industrialized ransomware attacks so commonly found in today’s headlines. In the book, you’ll explore the modern cybersecurity landscape, legal and regulatory requirements, risk management and assessment techniques, and the specific role played by board members in developing and promoting a culture of cybersecurity. You’ll also find:* Examples of cases in which board members failed to adhere to regulatory and legal requirements to notify the victims of data breaches about a cybersecurity incident and the consequences they faced as a result* Specific and actional cybersecurity implementation strategies written for readers without a technical background* What to do to prevent a cybersecurity incident, as well as how to respond should one occur in your organizationA practical and accessible resource for board members at firms of all shapes and sizes, Cyber Guardians is relevant across industries and sectors and a must-read guide for anyone with a stake in robust organizational cybersecurity. BART R. MCDONOUGH, the CEO and Founder of Agio, uses his extensive 20-plus years of IT and cybersecurity expertise to decode complex cybersecurity subjects, establishing him as a reliable resource for clients. His acclaimed book Cyber Smart provides a user-friendly guide to navigating the intricate landscape of cybersecurity for professionals and families alike. In addition to his role as a strategic cybersecurity advisor to boards, McDonough has also contributed valuable insights and perspectives as a member of several boards. Throughout his notable career, he has offered expert cybersecurity counsel to some of the world’s premier money managers. Bart received his undergraduate degree from the University of Connecticut and his Master’s degree from Yale University.
IT-Service-Management in der Praxis mit ITIL®
- Was Sie für die Foundation-Zertifizierung über ITIL® wissen müssen- Ein Überblick über ITIL® sowie ergänzende Standards und Methoden- Wie Sie IT-Service-Management erfolgreich gestalten und verankern- Zahlreiche Praxistipps und eine umfangreiche Fallstudie- Neu in der 6. Auflage: mit ITIL® 4 und COBIT® 2019- Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten BuchesDie IT hat sich zu einem zentralen Erfolgsfaktor für funktionierende Geschäftsprozesse entwickelt. Das verlangt von IT-Organisationen, immer schneller veränderten Anforderungen gerecht zu werden. IT-Verantwortliche können diese Aufgabe meistern, wenn sie auf modernes IT-Service-Management setzen.Hier wird Ihnen gezeigt, wie Sie IT-Service-Management praxisgerecht planen und realisieren. Sie erfahren, wie Sie ITIL® Ihren Zielen entsprechend mit ISO 20000, IT-Kennzahlen, Balanced Scorecard und COBIT® 2019 richtig kombinieren und einsetzen. Als standardisierte Notation für Prozesse wird BPMN 2.0 beleuchtet.Ein ausführliches Fallbeispiel veranschaulicht, wie Sie das alles in die Praxis umsetzen und auf diese Weise kontinuierlich die Qualität und die Wirtschaftlichkeit verbessern.»Das ist ein Buch sowohl für die Praxis (ITIL-Projekte stehen bevor) als auch für Schulungs-Teilnehmer, die sich auf eine ITIL Foundation Prüfung vorbereiten wollen. Das Buch zeigt, wie IT-Service Management mit ITIL® in der Praxis geplant und realisiert werden und wie eine Verzahnung mit weiteren Good Practices Ihren Zielen entsprechend kombiniert werden kann.«it Service Management (itSMF Deutschland e.V.) zur 3. Auflag Martin Beims, Inhaber der aretas GmbH, gestaltet seit über 20 Jahren erfolgreich Service-Prozesse und Service-Organisationen. Darüber hinaus ist er gefragt als charismatischer Referent und Keynote-Speaker. Gemeinsam mit seinen Partnern bei aretas entwickelte er die sieben Service-Prinzipien für die Gestaltung exzellenter Services.Michael Ziegenbein hat bis 2020 als Senior Consultant der aretas GmbH Kunden im Prozessmanagement und bei der Implementierung verschiedener Managementsysteme beraten. Seine Schwerpunkte sind IT-Service-Management, Risikomanagement, Qualitätsmanagement, Informationssicherheit und Datenschutz. Seit Juli 2020 ist er für die Helaba Invest Kapitalanlagegesellschaft mbH tätig.
Strategisches Management der IT-Landschaft (4. Auflg.)
- Profitieren Sie vom Know-how der Autorin und von einem Vorgehen, das in der Praxis vielfach erprobt ist.- Anhänge mit Hilfestellungen für die Einführung, Muster für Analyse, Gestaltung und Planung der IT-Landschaft, weitere Informationen zum EAM-Reifegradmodell und zu Modellierungsrichtlinien- Schritt-für-Schritt-Anleitungen für die Reifegradbestimmung, strategische IT-Planung und IT-Governance- Neu in der 4. Auflage: Vertiefung der Themen Agile Planung, Ziel-Bild-Gestaltung und dezentrale GovernanceIn diesem Buch erfahren Sie, wie Sie als IT-Manager:in oder CIO Ihre IT-Landschaft am Business ausrichten, erfolgreich planen und weiterentwickeln.Sie erhalten Hilfestellungen, um vorausschauend agieren und fundierte Entscheidungen treffen zu können. Nur so können Sie sowohl Geschäftschancen ermöglichen als auch den Geschäftsbetrieb absichern.Wesentliche Disziplinen hierfür sind die Strategieentwicklung, das Enterprise Architecture Management, das Lean Demand Management und das Projektportfoliomanagement. Diese Disziplinen und ihr Zusammenspiel werden ausführlich beschrieben. Sie erhalten Hilfestellungen für den Aufbau Ihres einfachen und effektiven strategischen IT-Management- Instrumentariums und insbesondere für den Aufbau des Enterprise Architecture Management und seine Verankerung in der Organisation.Die praktischen Anleitungen und Best Practices versetzen Sie in die Lage, ein einfaches und effektives Planungs- und Steuerungsinstrumentarium aufzusetzen und auszubauen. Auf dieser Basis können Sie in Ihrem Unternehmen die IT-Unterstützung optimieren und die Partnerschaft im Unternehmen schrittweise ausbauen oder sogar die Gestaltung des Business mitverantworten.AUS DEM INHALT:Agile Planung/Strategische IT-Planung/Ziel-Bild-Gestaltung/Unternehmensarchitektur/EAM/Business Capability Management/Technologiemanagement/IT-Governance/Dashboard/Glossar Inge Hanschke, Dipl.-Inf., ist Expertin in digitaler Transformation, Datenmanagement, Organisation 4.0, Enterprise Architecture Management, Business-Analyse & Demand Management, Lean Management, Informationssicherheit und Datenschutz. Seit über 30 Jahren baut sie als Innovator, IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und als IT-Dienstleister konsequent die Brücke zwischen Business und IT. 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.
Numerisches Python (2. Auflg.)
Arbeiten mit NumPy, Matplotlib und Pandas. In 2. aktualisierter Auflage, August 2023.Dieses Buch vermittelt die Python-Grundlagen zur Lösung numerischer Probleme aus den Gebieten »Data Science« und »Maschinelles Lernen«.Im ersten Teil geht es um NumPy als Basis der numerischen Programmierung mit Python. Eingehend behandelt werden Arrays als zentraler Datentyp für alles, Numerische Operationen, Broadcasting und Ufuncs. Statistik und Wahrscheinlichkeitsrechnung ist ein eigenes Kapitel gewidmet, ebenso wie Boolscher Maskierung und File-Handling.Die Datenvisualisierung mit Matplotlib bildet den Schwerpunkt des zweiten Teils. Zunächst geht es um die Begrif ichkeit von Matplotlib. Behandelt werden Linien-, Balkendiagramme, Histogramme und Konturplots.Der dritte Teil dreht sich um Pandas mit seinen Series und DataFrames. Behandelt wird auch der Umgang mit verschiedensten Dateiformaten wie Excel, CSV und JSON sowie mit unvollständigen Daten und NaN. Aufgezeigt werden die Möglichkeiten der Datenvisualisierung direkt mit Pandas.Der vierte Teil bietet Beispielanwendungen des erlernten Stoffes, wie z.B. ein Haushaltsbuch und eine praxistaugliche Einnahmeüberschussrechnung. Auch findet sich hier eine Einführung in Bildverarbeitungstechniken.Fast jedes der 32 Kapitel enthält zusätzliche Übungen zum Erproben und Vertiefen des Erlernten, die zugehörigen Lösungen sind im fünften Teil zusammengefasst.Aus dem Inhalt:NumPy:- Numerische Operationen auf mehrdimensionalen Arrays- Broadcasting und UfuncsMatplotlib:- Diskrete und kontinuierliche Graphen- Balken- und Säulendiagramme, Histogramme, KonturplotsPandas:- Series und DataFrames- Arbeiten mit Excel-, csv- und JSON-Dateien- Unvollständige Daten (NaN)- DatenvisualisierungPraxisbeispiele:- Bildverarbeitung- Haushaltsbuch und EinnahmeüberschussrechnungLeseprobe (PDF-Link)
Electronic Communication Interception Technologies and Issues of Power
In cyberspace, data flows transit massively and freely on a planetary scale. The generalization of encryption, made necessary by the need to protect these exchanges, has resulted in states and their intelligence services forgoing listening and interception missions. The latter have had to find ways to break or circumvent this protection.This book analyzes the evolution of the means of communication and interception, as well as their implementation since the advent of the telegraph in the 19th century. It presents this sensitive subject from a technical, historical and political perspective, and answers several questions: who are the actors of interception? Who has produced the recent technologies? How are the markets for interception means organized? Are the means of protecting communications infallible? Or what forms of power do interceptions confer?Daniel Ventre has a PhD in political science and is a researcher at CESDIP Laboratory (CNRS, Paris-Saclay University, France). His research focuses on cybersecurity, cybercrime and cyber defense.Philippe Guillot has a PhD in computer science and taught cryptology and its history at the University of Paris 8, France. He is also a member of the ARCSI.
The Quiet Crypto Revolution
Crypto is going to change the world, and for those tired of confusing financial jargon and complicated technical terminology, look no further. This book demystifies the world of cryptocurrencies and blockchain technology and explains in accessible language how it will affect your daily life.In The Quiet Crypto Revolution, Klaas Jung dives beneath the surface of Bitcoin to explore the engine that powers it - blockchain. Far surpassing the confines of cryptocurrencies, blockchain's potential for wide-ranging applications is enormous. It's crucial to understand that cryptocurrencies are merely a single manifestation of blockchain's capabilities. This book casts light on the broader spectrum of blockchain applications and the exciting future of this groundbreaking technology.With a focus on real-world applications, you'll gain a deeper understanding of the key concepts behind the innovative technology of blockchain, equipping you to make informed decisions. Whether you're a tech-savvy individual or a complete newcomer to the world of crypto and finance, this book will arm you with the knowledge and insights you need to understand the impact cryptocurrency and blockchain will have on your future.YOU WILL* Look at the future of blockchain technology* Review potential use cases for blockchain beyond cryptocurrency* Study security strategies to avoid scams in the crypto spaceWHO THIS BOOK IS FORBeginners who would like to gain a better understanding of cryptocurrency and the technology that supports it.Klaas Jung is a seasoned IT management professional and writer who brings a unique perspective to the ever-evolving world of blockchain and cryptocurrency. With over 20 years of experience in the IT industry, he has a wealth of knowledge and understanding of the technical and practical aspects of this revolutionary technology. His first book, "100% Successful IT Projects," was a practical guide to managing IT projects and achieving success.1. Introduction to The Crypto Revolution.- 2. Understanding the Blockchain.- 3. The future of blockchain technology.- 4. Cryptocurrency in Practice.- 5. The Future of Decentralized Finance.- 6. Security and Scams.- 7. Crypto Pioneers: Exploring Entrepreneurial Opportunities.- 8. Final Thoughts: The Future of Crypto.
Code - Wie Computer funktionieren
Die Sprache von Hardware und Software verstehen. Die Erstauflage von Charles Petzold aus August 2023.Computer sind überall, am sichtbarsten in PCs und Smartphones, aber sie finden sich auch in Autos, Fernsehern, Mikrowellen, Staubsaugerrobotern und anderen smarten Geräten. Haben Sie sich jemals gefragt, was in diesen Geräten vor sich geht?Charles Petzold begeistert seine Leserinnen und Leser seit mehr als 20 Jahren mit seinem Buch und lüftet das Geheimnis über das verborgene Innenleben und die grundlegende Funktionsweise von Computern – von der Hardware bis zur Software. Nun hat er sein beliebtes Standardwerk für das neue Computerzeitalter überarbeitet. Alle Erläuterungen sind anschaulich illustriert und werden am Beispiel von alltäglichen Gegenständen wie Taschenlampen und bekannten Systemen wie Morsecode oder Brailleschrift leicht verständlich beschrieben.Dieses Buch schafft eine tiefe Ebene des Verständnisses für die Funktionsweise von Computern, die weit über den Code von höheren Programmiersprachen hinausgeht. Jeder, der sich für Informatik interessiert, sollte dieses Buch gelesen haben."Für mich war Code eine Offenbarung. Es war das erste Buch, das wirklich zu mir sprach. Es begann mit einer Geschichte und baute Schicht für Schicht, Analogie für Analogie darauf auf, bis ich nicht nur den Code, sondern auch das System dahinter verstand. Code ist ein Buch, in dem es in gleichem Maße um Systemisches Denken und Abstraktionen geht wie um Code und Programmierung. Code zeigt uns, wie viele unsichtbare Schichten zwischen den Computersystemen, die wir als Benutzer täglich zu Gesicht bekommen, und den magischen Siliziumkristallen liegen, denen wir mit Blitzenergie beigebracht haben zu denken."- Scott Hanselman, Partner Program Director bei Microsoft und Moderator von HanselminutesLeseprobe (PDF-Link)
Essentials of Arduino™ Boards Programming
Learn to use the Arduino boards to do big jobs in a simple way. This book is full of real-world examples for Arduino enthusiasts of all experience levels. All of the examples in this book use Arduino UNO, which is an excellent option for educational purposes.You'll start with an introduction to Arduino and see firsthand how its free multi-platform integrated development environment (IDE) makes coding easier. In many cases, you can edit the given codes to solve your own problems. Arduino boards use a variety of microcontrollers and each board is suitable for a specific application. The Arduino IDE is also preloaded with a broad library of codes that you can modify and practice with. So instead of coding from scratch you can adjust the codes for similar projects. More experienced users will save time by simply copying nuggets of code from the various libraries.You'll also learn about digital input/output (I/O), analog-to-digital and digital-to-analog converters, LCDs and EEPROM. The book then moves on to serial communication, mathematical functions, and pulse width modulation (PWM), all important features when encoding in telecommunications. Finally, you'll see how to control different types of motors, review interrupts, internal comparators, and timers, and read different sensors with Arduino.WHAT YOU WILL LEARN* Turn on/off a device using a relay* Generate analog/digital output* Read an analog/digital input* Control motors with a parallel virtual machine (PVM) and serial communication* Display text with LCDs* Read sensors with Arduino and use the interrupts* Write more efficient codes with interrupts and timersWHO THIS BOOK IS FOREngineering (electrical/computer/biomedical/robotic/mechatronics/aerospace) and science (math/physic/chemistry) students, makers, and hobbyists. Being familiar with a programming language (especially C) is an advantage, however, it is not necessary.Farzin Asadi received his B.Sc. in Electronics Engineering, his M.Sc. in Control Engineering, and his Ph.D. in Mechatronics Engineering. Currently, he is with the Department of Electrical and Electronics Engineering at the Maltepe University, Istanbul, Turkey. Dr. Asadi has published over 40 international papers and 19 books. He is on the editorial board of seven scientific journals as well. His research interests include switching converters, control theory, robust control of power electronics converters, and robotics.Chapter 1: Introduction to Arduino Boards.- Chapter 2: Digital Input Output (I/O).- Chapter 3: Analog to Digital Converter (ADC) and Digital to Analog Converter (DAC).- Chapter 4: LCD and EEPROM.- Chapter 5: Serial Communication.- Chapter 6: Mathematical Functions.- Chapter 7: Pulse Width Modulation (PWM).- Chapter 8: Control of Different Type of Motors.- Chapter 9: Interrupts and Internal Comparator.- Chapter 10: Timers.- Chapter 11: Reading Different Sensors with Arduino.
MCA Microsoft Certified Associate Azure Data Engineer Study Guide
PREPARE FOR THE AZURE DATA ENGINEERING CERTIFICATION—AND AN EXCITING NEW CAREER IN ANALYTICS—WITH THIS MUST-HAVE STUDY AIDEIn the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in an exciting and growing field of tech.In the book, you’ll explore all the objectives covered on the DP-203 exam while learning the job roles and responsibilities of a newly minted Azure data engineer. From integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions, you’ll get up to speed quickly and efficiently with Sybex’s easy-to-use study aids and tools.This Study Guide also offers:* Career-ready advice for anyone hoping to ace their first data engineering job interview and excel in their first day in the field* Indispensable tips and tricks to familiarize yourself with the DP-203 exam structure and help reduce test anxiety* Complimentary access to Sybex’s expansive online study tools, accessible across multiple devices, and offering access to hundreds of bonus practice questions, electronic flashcards, and a searchable, digital glossary of key termsA one-of-a-kind study aid designed to help you get straight to the crucial material you need to succeed on the exam and on the job, the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203 belongs on the bookshelves of anyone hoping to increase their data analytics skills, advance their data engineering career with an in-demand certification, or hoping to make a career change into a popular new area of tech.ABOUT THE AUTHORBENJAMIN PERKINS is currently employed at Microsoft in Munich, Germany, as a Senior Escalation Engineer on the Azure team. He is a C# programming expert and cloud engineer who has been working professionally in the IT industry for almost three decades. His roles in IT have spanned the entire spectrum including programmer, system architect, technical support engineer, team leader, and mid-level management. While employed at Hewlett-Packard and Compaq Computer Corporation, he received numerous awards, degrees, and certifications.
Handbuch Data Engineering
Der praxisnahe Überblick über die gesamte Data-Engineering-Landschaft.Data Engineering hat sich in den letzten zehn Jahren rasant entwickelt, sodass viele Software Engineers, Datenanalystinnen und Data Scientists nach einer zusammenfassenden Darstellung der grundlegenden Techniken suchen. Dieses praxisorientierte Buch gibt Ihnen mit dem Data Engineering Lifecycle ein Framework an die Hand, das die Evaluierung und Auswahl der besten Technologien für reale Geschäftsprobleme erleichtert. Sie erfahren, wie Sie Systeme so planen und entwickeln, dass sie den Anforderungen Ihres Unternehmens und Ihrer Kunden optimal gerecht werden.Joe Reis und Matt Housley führen Sie durch den Data Engineering Lifecycle und zeigen Ihnen, wie Sie eine Vielzahl von Cloud-Technologien kombinieren können, um die Bedürfnisse von Datenkonsumenten zu erfüllen. Sie lernen, die Konzepte der Generierung, Ingestion, Orchestrierung, Transformation, Speicherung und Bereitstellung von Daten anzuwenden, die in jeder Datenumgebung – unabhängig von der konkret verwendeten Technologie – von entscheidender Bedeutung sind.Aus dem Inhalt:Erhalten Sie einen kompakten Überblick über die gesamte Praxis des Data EngineeringBeurteilen Sie Problemstellungen im Data Engineering anhand eines umfassenden Frameworks von Best PracticesWählen Sie geeignete Datentechnologien, -architekturen und -prozesse jenseits des Marketing-Hypes ausNutzen Sie den Data Engineering Lifecycle, um eine robuste Infrastruktur zu entwerfen und aufzubauenErfahren Sie, wie Sie Data Governance und Sicherheit in den gesamten Lebenszyklus Ihrer Daten integrierenInhaltsverzeichnis (PDF-Link)Zu den Autoren:Joe Reis ist ein businessorientierter Daten-Nerd, der seit 20 Jahren in der Datenbranche tätig ist. Seine Tätigkeitsbereiche umfassen statistische Modellierung, Prognosen, Machine Learning, Data Engineering, Datenarchitektur und fast alles, was dazwischen liegt. Joe Reis ist der CEO und Mitbegründer von Ternary Data, einem Beratungsunternehmen für Data Engineering und Datenarchitektur mit Sitz in Salt Lake City, Utah. Er engagiert sich ehrenamtlich in verschiedenen Technologiegruppen und unterrichtet an der University of Utah. In seiner Freizeit geht Joe gerne klettern, produziert elektronische Musik und unternimmt mit seinen Kindern verrückte Abenteuer.Matt Housley ist Consultant für Data Engineering und ein Experte für die Cloud. Nach ersten Programmiererfahrungen mit Logo, Basic und 6502-Assembler hat er an der University of Utah in Mathematik promoviert. Danach begann Matt Housley im Bereich der Data Science zu arbeiten und spezialisierte sich schließlich auf Cloud-basiertes Data Engineering. Zusammen mit Joe Reis gründete er Ternary Data, wo er seine Lehrerfahrung nutzt, um künftige Data Engineers auszubilden und Teams zu einer robusten Datenarchitektur zu beraten. Matt und Joe referieren außerdem im „The Monday Morning Data Chat“ über alles, was mit Daten zu tun hat.
Künstliche Intelligenz, Verkörperung und Autonomie
Was wissen Maschinen? Können sie wirklich mit uns sprechen? Haben sie Bewusstsein? Was ist gemeint, wenn Roboter als „verkörperte KI“ oder als „autonom“ bezeichnet werden? Vorliegendes Buch stellt sich diesen und weiteren Fragen. Denn Technikethik ist eng mit theoretischen Herausforderungen verbunden. Vor diesem Hintergrund wird in die Erkenntnislehre, Sprachanalyse, Körper-Geist-Verhältnisse sowie die Philosophie des Geistes systematisch eingeführt. Manches, das wir Maschinen vorschnell zuschreiben, entpuppt sich bei genauer Betrachtung als Schein. Warum ist das so? Mit Beispielen, Tabellen und Übersichten werden Antworten eingängig und strukturiert erarbeitet. Das Buch richtet sich an Ingenieurwissenschaftler*innen, Informatiker*innen und Geisteswissenschaftler*innen im Berufsalltag, aber auch an interessierte Lai*innen, die Möglichkeiten und Grenzen der KI kritisch hinterfragen wollen. Es bildet den vierten, in sich abgerundeten Teil der Buchreihe Grundlagen der Technikethik. Haben Maschinen den Geist, den wir brauchen, und brauchen wir den Geist, in dem wir Maschinen designen? Der Inhalt * Sprache und Wissen * Sprachen und Techniken * Körper-Geist-Verhältnisse * Haben Maschinen Bewusstsein? * Autonomie Die Zielgruppen * Entwickler*innen in den Bereichen Informatik und Robotics * Wissenschaftler*innen und Studierende der Informatik/IT, Philosophie, Sozial- und Rechtswissenschaften * Interessierte Lai*innen aller Fachbereiche Der Autor Michael Funk forscht und lehrt an der Universität Wien in den Bereichen Medien- und Technikphilosophie (Institut für Philosophie) sowie Cooperative Systems (Fakultät für Informatik). Was wissen Maschinen? Können sie wirklich mit uns sprechen? Haben sie Bewusstsein? Was ist gemeint, wenn Roboter als „verkörperte KI“ oder als „autonom“ bezeichnet werden? Vorliegendes Buch stellt sich diesen und weiteren Fragen. Denn Technikethik ist eng mit theoretischen Herausforderungen verbunden. Vor diesem Hintergrund wird in die Erkenntnislehre, Sprachanalyse, Körper-Geist-Verhältnisse sowie die Philosophie des Geistes systematisch eingeführt. Manches, das wir Maschinen vorschnell zuschreiben, entpuppt sich bei genauer Betrachtung als Schein. Warum ist das so? Mit Beispielen, Tabellen und Übersichten werden Antworten eingängig und strukturiert erarbeitet. Das Buch richtet sich an Ingenieurwissenschaftler*innen, Informatiker*innen und Geisteswissenschaftler*innen im Berufsalltag, aber auch an interessierte Lai*innen, die Möglichkeiten und Grenzen der KI kritisch hinterfragen wollen. Es bildet den vierten, in sich abgerundeten Teil der Buchreihe Grundlagen der Technikethik. Haben Maschinen den Geist, den wir brauchen, und brauchen wir den Geist, in dem wir Maschinen designen? Michael Funk forscht und lehrt an der Universität Wien in den Bereichen Medien- und Technikphilosophie (Institut für Philosophie) sowie Cooperative Systems (Fakultät für Informatik). Sprache und Wissen.- Sprachen und Techniken.- Körper-Geist-Verhältnisse.- Haben Maschinen Bewusstsein?.- Autonomie.
Serverless Web Applications with AWS Amplify
Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments.You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker.AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps.WHAT YOU'LL LEARN* Build GraphQL and REST APIs* Model data with Amplify Datastores* Set up a CI/CD pipeline with Amplify* Record and make sense of user data analytics with Kinesis* Boost your application with AI/ML capability using Sagemaker WHO THIS BOOK IS FORDevelopers who have worked on web technologies and want to learn how to build serverless applications and developers interested in making powerful applications using AWS that can then be wired using AWS Amplify.AKSHAT PAUL is a technology leader and author of four books on React Native, Ruby, and Rubymotion. He has extensive experience of mobile and web development and has delivered many enterprise and consumer applications over the years. In other avatars, Akshat frequently speaks at conferences and meetups on various technologies. He has given talks at React Native EU, Crossplatform mobile summit, Devops@scale Amsterdam, DevTheory Conference India, RubyConfIndia, #inspect-RubyMotion Conference brussels and was KeyNote speaker at technology leadership events at bkk and kl. Besides writing code Akshat spends time with his family, is an avid reader, and is obsessive about healthy eating.MAHESH HALDAR is a developer, blogger and industry speaker who loves the JavaScript ecosystem, Flutter, cloud technologies and builds efficient software products to help businesses grow and improve their customers experience. As a principal software engineer, he currently architects and builds software solutions for the e-commerce platform Carrefour.He speaks at tech community meetups and actively writes blogs on medium and has had research published in IJCA. Haldar has designed and developed complex large-scale systems for start-ups and large enterprises like Jago Bank and McKinsey & Company.Chapter 1: Introduction to Serverless* What is Serverless – History, present and beyond* Architecture, strengths, scalability and limitations* What is AWS AmplifyChapter 2: UI Component & Authentication* Amplify UI component introduction* React UI component* What is AWS Cognito * How it works * Setting up authentication with Cognito * UI forms and implementation for sign in, signup, signout, confirm and forget Chapter 3 : API request and database* Quick introduction to GraphQL and REST* Make HTTP requests with GraphQL using Amplify* Getting and displaying data from public sources * Making HTTP requests with REST using Amplify and API gateway* Getting and displaying data from public sources Chapter 4 : Lambda Functions* What is AWS Lambdas?* Invocation types and event sources* Creating new REST API and trigger lambda function* Deploying lambda functions * Using lambda layers Chapter 5 : Storage and Data stores* Setting up a database (DynamoDB)* CRUD functions with UI to API to interact with Database* Amplifying Datastores* Modeling the datastore* Storing and retrieving data from Amplify datastores* Storing and retrieving objects like photos, videos using S3 Chapter 6 : Analytics* Recording events* Tracking session* Making sense of data and analyze with Kinesis Chapter 7 : CI/CD* Deployment via CLI* Deployment via Git* Feature branch deployment* Hosting static apps * Adding password protection for non-production releasesChapter 8 : Amplify Supplements* Building engaging apps having interactive bots with lex* Boosting your application with AI/ML capability using Sagemaker * Amplify beyond react web apps
Creative Prototyping with Generative AI
Reimagine different generative AI as useful creative prototyping tools that can be used to augment your own creative process and projects. Gain a deeper understanding of how generative AI can elevate your creative future.You will acquire a comprehensive understanding of how AI works, uncover tools that can enhance your AI interactions, learn how to extract maximum potential from AI-produced content, and experiment with methods for assessing, refining, and boosting the content to transform your creative projects. You'll also explore how creative professionals from varied disciplines are employing generative AI in their workflows to produce distinctive contributions to the world.Each chapter provides examples of how designers and other creative individuals can utilize these technological wonders, adopting various prototyping techniques to fast-track and optimize design processes and workflows. Creators from all disciplines can tap into the vast capabilities and benefits of generative AI, enabling them to rapidly experiment and prototype their ideas.YOU WILL LEARN:* Understand how generative AI can support your own creative process* Learn tools to get the most out of text-text, text-image, and text-video generative AI* Augment your design practices using generative AI* Draw inspiration from AI generated content to create unique creative work* Improve and streamline creatives processes and workflowsWHO THIS BOOK IS FOR* Digital media professionals who want to access off-the shelf creative tools to improve and accelerate their creativity and workflow.* Designers and engineers who are looking at novel ways to improve their prototyping and testing processes.* Students who want to use AI to rapidly generate ideas to support them in prototyping assignments.* Instructors interested in pointing their students to a variety of accessible AI resources to manage their own creativity.PATRICK PARRA PENNEFATHER is an Assistant 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, Digital Media, XR and Agile Software Development. Patrick also works with learning organizations and technology companies around the world to design learning courses that meets the needs of diverse communities to aid the development of the next generation of technology designers and developers. Teaching has focused on Creativity, Collaboration, Sound Design, xR development, Agile with a focus on developing critical 21st Century competencies.RAPID PROTOTYPING WITH GENERATIVE AI1. Introduction: Your AI Best Friend2. AI as a Creative Muse3. Prototyping with AI4. Creative Tools and Processes5. AI Structures6. The Master of Mash-Up: Leveraging AI for Prototyping7. Uncanny by Nature8. Layering AI Generation9. The Art of the Prompt10. Five Dilemmas Using AI11. AI Curator for Hire
IT-Service-Security in Begriffen und Zusammenhängen
Für die IT- oder Cybersecurity von IT-Dienstleistungen (IT-Services) zu sorgen, kann ein komplexes Unterfangen sein. Als Anwender das erreichte Maß an IT-Sicherheit adäquat einzuschätzen nicht minder.Dieses Buch bringt Ordnung in das Dickicht von Prozessen, Aktivitäten und Informationen, indem neue Begriffe eingeführt sowie existierende geschärft und in den Zusammenhang gesetzt werden. Es liefert konkrete Anleitungen und ein Gesamtkonzept für das Management der IT-Service-Sicherheit im Sinne von Organisieren, Orchestrieren und Optimieren. Es zeigt, wie man die vielen Themen gleichzeitig bearbeiten und erfolgreich am internen oder externen Markt bestehen kann. Die Methoden und Konzeptionen sind die Essenz aus mehr als fünfzehn Jahren Forschung und Lehre und aus mehr als zwölf Jahren in zentraler Verantwortlichkeit in einem der großen international tätigen IT-Dienstleister. Die Aufteilung der an sich komplexen Materie in einzelne Begriffe ermöglicht es dem Leser, sich jeweils auf eine Fragestellung zu konzentrieren. Das Buch richtet sich an Anwender (Anwenderorganisationen) und an IT-Dienstleister (IT-Abteilungen und Firmen in der IT-Industrie) und ist hilfreich für Hersteller, die beide Parteien zufriedenstellen müssen.EBERHARD VON FABER arbeitet als Chief Security Advisor, IT Services bei T-Systems. Er verfügt über mehr als 30 Jahre Industrieerfahrung auf dem Gebiet der IT-Sicherheit und ist Professor für IT-Sicherheit. Seine Spezialthemen sind Sicherheitsarchitekturen, Prozesse und die Interaktion in industriellen Liefernetzwerken für mehr Effizienz und bessere Informationssicherheit. Er hat vier Bücher bei Springer veröffentlicht und ist für mehr als 150 Fachartikel und öffentliche Vorträge verantwortlich.Geschäftsmodelle und Technik - Produktion und Bereitstellung - Das Managementsystem - Die Teilaufgaben - Assurance Management: Informationen über die IT-Sicherheit beschaffen, kommunizieren und bewerten - Taxonomie: Themen verstehen, Verantwortlichkeiten zuweisen, Tätigkeiten orchestrieren - Dokumentation: Unterbau und Arbeitsmittel für Qualität und EffizienzSecured by Definition: IT-Sicherheit, Qualitätsmanagement und die Konsequenzen - Wahrnehmung, Wissen, Kompetenzen: der Faktor Mensch und wie wir urteilen
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem—analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity.Norman Meuschke is a Senior Researcher for Information Retrieval and Natural Language Processing at the University of Göttingen, Germany.Introduction.- Academic Plagiarism Detection.- Citation-based Plagiarism Detection.- Image-based Plagiarism Detection.- Math-based Plagiarism Detection.- Hybrid Plagiarism Detection System.- Conclusion and Future Work.- References.